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about_me.txt

@@ -1,15 +1,15 @@
 
-Hallo, ich bin Suhas Kamuni, ein Data-Science- und Analytics-Professional mit vier Jahren Berufserfahrung in der Lösung von Business Use Cases durch Analysen, Python und Machine-Learning-Modelle.
-Ich habe einen Masterabschluss in Data Science von der Universität Bielefeld und war bei Unternehmen wie IBM, XING und PowerSchool tätig.
-Ich bin leidenschaftlich darin, Beziehungen zu funktionsübergreifenden Teams aufzubauen, um strategisches Wachstum zu fördern. Ich lege großen Wert auf kontinuierliches Lernen, berufliche Weiterentwicklung und ein positives, motivierendes Arbeitsumfeld.
+Hi, I'm Suhas Kamuni, and I'm a data science/analytics professional with four years of overall industry experience in solving business use cases through analytics, python, and machine learning solutions for model development.
+I hold a master's degree from the University of Bielefeld in Data Science and have worked at companies of IBM, XING, and PowerSchool.
+Passionate and skilled in building relationships with cross-functional teams for strategic growth. Envious of continuous learning, professional growth, and a cheerfull environment.
 
-Kernkompetenzen und Tools:
-Programmiersprachen: SQL, Python, R
-Data Warehousing: Snowflake, dbt, BigQuery
-Datenmanipulation: SQL, Pandas, NumPy, Polars
-Datenvorverarbeitung: Feature Engineering, Feature Scaling, Normalisierung, Encoding, ETL
-Datenmodellierung: dbt, Airflow
-Machine Learning: Überwachtes und unüberwachtes Lernen, Künstliche Neuronale Netze
-Datenvisualisierung: Tableau, Power BI, Matplotlib, Seaborn, Plotly
-Workflow und Versionskontrolle: CI/CD, Git, GitHub
-Weitere Fähigkeiten: Ad-hoc-Analysen, KPI-Implementierung, A/B-Test-Analysen und Experimente
+Key Skills and Tools:
+* Programming Languages: SQL, Python, R.
+* Data Warehousing: Snowflake, dbt, BigQuery.
+* Data Manipulation: SQL, Pandas, NumPy, Polars.
+* Data Preprocessing: Feature Engineering, Feature Scaling, Normalization, Encoding, ETL.
+* Data Modeling: dbt, Airflow.
+* Machine Learning: Supervised Learning, Unsupervised Learning, Artificial Neural Networks.
+* Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, Plotly.
+* Workflow Ethic and Version Control- CI/CD, Git, GitHub 
+* Other Skills: Ad-hoc Analysis, KPI Implementation, A/B Test Analysis / Experiments.

app.py

@@ -104,7 +104,7 @@ else:
 # ----- 7) Load About Me text -----
 print("Load Hobby Pictures --> Load About Me text")
 try:
-    with open("./about_me.txt",  "r", encoding="utf-8") as f:
+    with open("./about_me.txt", "r") as f:
         about_me_text = f.read()
     print("✅ About Me text loaded.")
 except FileNotFoundError:
@@ -363,7 +363,7 @@ app_css = """
 }
 """
 
-with gr.Blocks(theme = gr.themes.Soft(), css = app_css, title = "Suhas’ KI-Portfolio", fill_height = True, fill_width = True) as demo:
+with gr.Blocks(theme = gr.themes.Soft(), css = app_css, title = "Suhas's AI Portfolio", fill_height = True, fill_width = True) as demo:
     
     with gr.Column(elem_id = "app-container"):
 
@@ -386,23 +386,23 @@ with gr.Blocks(theme = gr.themes.Soft(), css = app_css, title = "Suhas’ KI-Por
                     elem_id = "title-text"
                 )
                 
-                home_btn = gr.Button("🏠 Startseite", variant = "transparent")
-                resume_btn = gr.Button("📄 Lebenslauf", variant = "transparent")
+                home_btn = gr.Button("🏠 Home", variant = "transparent")
+                resume_btn = gr.Button("📄 Resume", variant = "transparent")
                 chat_btn = gr.Button("🤖 Chat Assistant", variant = "transparent")
-                hobbies_btn = gr.Button("🎨 Hobbys", variant = "transparent")
+                hobbies_btn = gr.Button("🎨 Hobbies", variant = "transparent")
                 
             # --- Right Content Column ---
             with gr.Column(scale = 7): 
 
                 with gr.Group(visible = True, elem_classes="content-tab", elem_id="home-content-body") as home_ui:
-                    gr.Markdown("<h1>👋 Willkommen in meinem Portfolio! </h1>")
+                    gr.Markdown("<h1>👋 Welcome to My Portfolio! </h1>")
                     gr.Markdown(f"<div>{about_me_text.replace(chr(10), '<br>')}</div>")
                 
                 with gr.Group(visible = False, elem_classes = "content-tab") as resume_ui: 
-                    gr.Markdown("<h1 style = 'text-align: center; font-size: 32px;'>📄 Lebenslauf <span style='visibility: hidden;'>📄</span></h1>") 
+                    gr.Markdown("<h1 style = 'text-align: center; font-size: 32px;'>📄 Resume <span style='visibility: hidden;'>📄</span></h1>") 
                     
                     resume_viewer = PDF( 
-                        "./Lebenslauf_SuhasKamuni.pdf",
+                        "./Resume_SuhasKamuni.pdf",
                         label = None,
                         visible = True,
                         elem_id = "resume-viewer-pdf"
@@ -423,19 +423,19 @@ with gr.Blocks(theme = gr.themes.Soft(), css = app_css, title = "Suhas’ KI-Por
                         )
                         
                         msg_box = gr.Textbox(
-                            placeholder = "👋 Hallo! Ich bin Suhas’ Chat-Assistent. Frag mich gern nach seinen Projekten, Fähigkeiten, Erfahrungen oder sogar nach seinen Hobbys! \nMaximal 10 Anfragen.",
-                            label = "Ihre Frage",
+                            placeholder = "👋 Hi! I'm Suhas's chat assistant. Ask me about his projects, skills, experience or even his hobbies! \nMaximum 10 queries",
+                            label = "Your Question",
                             lines = 1,
                             elem_id = "chat-input-box",
                             scale = 0                
                         )
                         
                         with gr.Row(elem_id = "chat-button-row", scale = 0): 
-                            submit_btn = gr.Button("Bestätigen", variant = "primary", elem_classes = "chat-button")
-                            clear_btn = gr.ClearButton([msg_box, chatbot], value="Löschen", elem_classes = "chat-button")
+                            submit_btn = gr.Button("Enter", variant = "primary", elem_classes = "chat-button")
+                            clear_btn = gr.ClearButton([msg_box, chatbot], elem_classes = "chat-button")
                                     
                 with gr.Group(visible = False, elem_classes = "content-tab") as hobbies_ui:
-                    gr.Markdown("<h1 style = 'text-align: center; font-size: 32px;'>🎨 Hobbys</h1>")
+                    gr.Markdown("<h1 style = 'text-align: center; font-size: 32px;'>🎨 Hobbies</h1>")
                     hobbies_gallery = gr.Gallery(
                         value = hobby_pic_list,
                         label = None,
@@ -448,7 +448,7 @@ with gr.Blocks(theme = gr.themes.Soft(), css = app_css, title = "Suhas’ KI-Por
         gr.HTML(
             """
             <div class = "footer-block">
-              <p>Erstellt von</p>
+              <p>Made by</p>
               <a href = "https://www.linkedin.com/in/suhas-kamuni" target = "_blank">Suhas Kamuni</a>
             </div>
             """,

build_index.py

@@ -7,16 +7,16 @@ from llama_index.embeddings.fastembed import FastEmbedEmbedding
 
 # --- 1. Load Data ---
 files_to_index = [
-    "./Lebenslauf_SuhasKamuni.pdf",
+    "./Resume_SuhasKamuni.pdf",
     "./about_me.txt",
     "./more_about_me.txt"
 ]
 
 try:
     documents = SimpleDirectoryReader(input_files=files_to_index).load_data()
-    print(f"Loaded {len(documents)} document(s) from ./Portfolio_German/")
+    print(f"Loaded {len(documents)} document(s) from ./Portfolio/")
 except FileNotFoundError:
-    print("Error: './Portfolio_German/' folder not found.")
+    print("Error: './Portfolio/' folder not found.")
     exit()
 
 

index_storage/default__vector_store.json

@@ -1 +1 @@
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M\u00e4r 2024 \n \n\u2022 Training und Optimierung eines transformer -basierten BERT -Modells auf AWS SageMaker  im \nRahmen der Masterarbeit zur 32%-igen Effizienzsteigerung des internen Feedback-Routings durch \nNLP-Methoden. \n\u2022 Entwicklung monatlicher Visualisierungen in Tableau f\u00fcr Produktmanager, POs und Designer zur \nAbleitung handlungsrelevanter Erkenntnisse aus quantitativen und qualitativen \nNutzerfeedbackdaten. \n \n \nData Analyst, PowerSchool, Bangalore, Indien (Vollzeit)                      Mai 2021 - M\u00e4r 2022 \n \n\u2022 Anwendung statistischer Methoden zur Prognose von Schulanmeldungen an 140 \u00f6ffentlichen \nSchulen in den USA. \n\u2022 Anwendung statistischer Verfahren zur Verbesserung von Prognosen um 8% und Bereitstellung \nfundierter Empfehlungen f\u00fcr Stakeholder zu Facility Management, Personalallokation und \nRessourceninventar. \n\u2022 Validierung und Analyse von Datendiskrepanzen mittels detaillierter SQL -queries in BigQuery \nDatabase zur Sicherstellung der Datenqualit\u00e4t. \n\u2022 Mitarbeit in agilen Teams zur F\u00f6rderung kontinuierlicher Verbesserungen und Einsatz von \nSalesforce als CRM-Tool zur Optimierung interner Workflows.   \n \n \nAssociate Technical Analyst, IBM, Bangalore, Indien (Vollzeit)                 Jul 2019 - Jan 2021 \n \n\u2022 Anwendung von Prognosemodellen mit XGBoost auf IBM -Datenbanken zur Vorhersage von \nAnrufvolumen f\u00fcr strategische Personalplanung mit 17% Optimierung. \n\u2022 Pr\u00e4sentation wichtiger Erkenntnisse und Visualisierungen aus Anrufdaten als L\u00f6sungsans\u00e4tze f\u00fcr \noperative Bereiche zur Optimierung von Gesch\u00e4ftsprozessen.", "mimetype": "text/plain", "start_char_idx": 3, "end_char_idx": 2771, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "40bbed03-c20d-421e-8a05-be9f32fb9a39": {"__data__": {"id_": "40bbed03-c20d-421e-8a05-be9f32fb9a39", "embedding": null, "metadata": {"page_label": "2", "file_name": "Lebenslauf_SuhasKamuni.pdf", "file_path": "Lebenslauf_SuhasKamuni.pdf", "file_type": "application/pdf", "file_size": 168913, "creation_date": "2025-11-04", "last_modified_date": "2025-11-04"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "d102eb84-de5b-4bf0-a960-b951e774ebac", "node_type": "4", "metadata": {"page_label": "2", "file_name": "Lebenslauf_SuhasKamuni.pdf", "file_path": "Lebenslauf_SuhasKamuni.pdf", "file_type": "application/pdf", "file_size": 168913, "creation_date": "2025-11-04", "last_modified_date": "2025-11-04"}, "hash": "3cf3ba4e286250c77c829feb06adcd827d441618e387fc11ff6fe5af564d0a1c", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "\u2022 Erstellung von Berichten mit Kundenstimmungsanalysen aus eingehenden Anrufen zur \nIdentifizierung potenzieller Service-Probleme, was SLA-Verst\u00f6\u00dfe reduzierte und Servicekonsistenz \nverbesserte.  \n\u2022 Mitarbeiter des Monats - Dezember 2020. \n \n \n \n \nBILDUNGSWEG \n \nUniversit\u00e4t Bielefeld, Deutschland                           M\u00e4r 2022 - M\u00e4r 2024 \nMaster of Science in Data Science                                      Note: 1.8  \n \nVisvesvaraya Technological University, Bangalore, Indien                    Aug 2015 - Jun 2019 \nBachelor of Technology in Electronics and Communication Engineering       Note: 2.3 \n \n \n \n \nKOMPETENZEN UND ZERTIFIZIERUNGEN \n \nProgrammiersprachen und Tools: Python, SQL, GitHub, Jira, Confluence, Docker \n \nSoftwarekenntnisse: Tableau, AWS Sagemaker, DBT, Snowflake, BigQuery, Apache Airflow, Pandas, \nNumPy, Polars, scikit-learn, seaborn, PyTorch \n \nSoft skills: Offenheit f\u00fcr Kritik, Probleml\u00f6sungsf\u00e4higkeit, \u201eNever settle\u201c - Ethik, Kommunikationst\u00e4rke \n \nZertifizierungen: Google Data Analytics, IBM Data Science \n \nSprachkenntnisse (CEFR-Stufe)   \n \nEnglisch - C2, Deutsch - B2, Hindi - C1, Telugu (Muttersprache), Kannada - C1 \n \n \n \n \nTECHNISCHE PROJEKTE \n \nRAG mit Generative KI                         Mai 2025 - Aug 2025 \n \n\u2022 Entwicklung eines RAG-Systems mit LlamaIndex zur Verarbeitung von Datenquellen (PDFs, APIs,  \nTextdateien) \u00fcber FastAPI-Endpunkte f\u00fcr Forschungsanwendungen. \n\u2022 Implementierte das IBM-Granite-LLM und nutzte ChromaDB als Vektordatenbank zur Speicherung \nvon Texteinbettungen und f\u00fcr semantische Suchfunktionen. \n\u2022 Erstellte QA -Agenten, um relevante Informationen aus diesen Datenquellen abzurufen und \nkontextabh\u00e4ngige Antworten auf Forschungsanfragen zu liefern.  \n \n \nPrognose zuk\u00fcnftiger Aktienkurse                                                  Apr 2024 - Jul 2024 \n \n\u2022 Entwickelte neuronale Netzwerkmodelle mit GRUs und LSTMs zur Vorhersage von Aktienkursen, \ndie durch strategisch geplante Trades eine Rendite von 8 -17% auf Technologie -\nAktieninvestitionen erzielten. \n\u2022 Orchestrierte die Modellausf\u00fchrung mit Airflow DAGs im st\u00fcndlichen Rhythmus zur Erkennung \nkritischer Marktbewegungen und Volatilit\u00e4tsmuster. \n \n \n \nBielefeld, November 2025", "mimetype": "text/plain", "start_char_idx": 12, "end_char_idx": 2230, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "6442eee1-a174-48fc-be4d-b7fdef02cbd6": {"__data__": {"id_": "6442eee1-a174-48fc-be4d-b7fdef02cbd6", "embedding": null, "metadata": {"file_path": "about_me.txt", "file_name": "about_me.txt", "file_type": "text/plain", "file_size": 1190, "creation_date": "2025-11-04", "last_modified_date": "2025-11-04"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "0b1ba9a9-7098-4c85-8e23-b8f5e0df9e79", "node_type": "4", "metadata": {"file_path": "about_me.txt", "file_name": "about_me.txt", "file_type": "text/plain", "file_size": 1190, "creation_date": "2025-11-04", "last_modified_date": "2025-11-04"}, "hash": "183b4295eab20680504b004e705088b7486ec27fcbeccf812bd4a3016fc45ba5", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Hallo, ich bin Suhas Kamuni, ein Data-Science- und Analytics-Professional mit vier Jahren Berufserfahrung in der L\u00f6sung von Business Use Cases durch Analysen, Python und Machine-Learning-Modelle.\r\nIch habe einen Masterabschluss in Data Science von der Universit\u00e4t Bielefeld und war bei Unternehmen wie IBM, XING und PowerSchool t\u00e4tig.\r\nIch bin leidenschaftlich darin, Beziehungen zu funktions\u00fcbergreifenden Teams aufzubauen, um strategisches Wachstum zu f\u00f6rdern. Ich lege gro\u00dfen Wert auf kontinuierliches Lernen, berufliche Weiterentwicklung und ein positives, motivierendes Arbeitsumfeld.\r\n\r\nWichtige F\u00e4higkeiten und Tools:\r\nProgrammiersprachen: SQL, Python, R\r\nData Warehousing: Snowflake, dbt, BigQuery\r\nDatenmanipulation: SQL, Pandas, NumPy, Polars\r\nDatenvorverarbeitung: Feature Engineering, Feature Scaling, Normalisierung, Encoding, ETL\r\nDatenmodellierung: dbt, Airflow\r\nMachine Learning: \u00dcberwachtes und un\u00fcberwachtes Lernen, K\u00fcnstliche Neuronale Netze\r\nDatenvisualisierung: Tableau, Power BI, Matplotlib, Seaborn, Plotly\r\nWorkflow und Versionskontrolle: CI/CD, Git, GitHub\r\nWeitere F\u00e4higkeiten: Ad-hoc-Analysen, KPI-Implementierung, A/B-Test-Analysen und Experimente", "mimetype": "text/plain", "start_char_idx": 2, "end_char_idx": 1177, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "242a281a-69d1-49ae-9380-e0ead4a41c15": {"__data__": {"id_": "242a281a-69d1-49ae-9380-e0ead4a41c15", "embedding": null, "metadata": {"file_path": "more_about_me.txt", "file_name": "more_about_me.txt", "file_type": "text/plain", "file_size": 1464, "creation_date": "2025-11-04", "last_modified_date": "2025-11-04"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "bbb56e12-bb9e-4f76-b9fd-c23d4df3b587", "node_type": "4", "metadata": {"file_path": "more_about_me.txt", "file_name": "more_about_me.txt", "file_type": "text/plain", "file_size": 1464, "creation_date": "2025-11-04", "last_modified_date": "2025-11-04"}, "hash": "f9daea578b4e37ac8e1577783a16f037ef4c4fdff39d1e627f7afc3158a903ed", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "\ufeffIch gehe regelm\u00e4\u00dfig bouldern, da es eine sehr abwechslungsreiche Aktivit\u00e4t ist, die zu einer besseren k\u00f6rperlichen Fitness und allgemeinen Beweglichkeit beitr\u00e4gt. Nach dem Bouldern genie\u00dfe ich auch den Saunagang, da er hilft, den Kreislauf anzuregen und die Ausdauer zu steigern.\n\nIch spiele leidenschaftlich gern Gitarre, vor allem im Metal-Genre. Die technischen Aspekte des Lead-Gitarrenspiels haben ihren Ursprung im Jazz, was das Spielen besonders spannend macht und mir eine gute Abwechslung und Zufriedenheit zum Arbeitsalltag bietet.\n\nAu\u00dferdem schaue ich sehr gern Fu\u00dfball \u2013 haupts\u00e4chlich die englische Premier League und die Champions League. Diese Wettbewerbe sind weltweit bekannt f\u00fcr ihr hohes Niveau, und die Fans sind unglaublich leidenschaftlich. Mein Lieblingsverein ist Manchester City :).\n\nTischtennis ist eine weitere Leidenschaft von mir. Schon in der Schule und im Bachelorstudium habe ich meine Einrichtungen auf Landesebene vertreten. Hier in Bielefeld spiele ich jeden Donnerstag Rundlauf.\nIch spreche etwa f\u00fcnf Sprachen: Telugu, Hindi, Kannada, Englisch und Deutsch. Meine gr\u00f6\u00dfte St\u00e4rke ist meine Aussprache im Englischen und Deutschen, was meine Freunde sehr sch\u00e4tzen. \nIch habe sie w\u00e4hrend meiner Arbeit bei PowerSchool verbessert, wo ich t\u00e4glich mit Amerikanern gesprochen habe und ihren Akzent \u00fcbernommen habe. Telugu ist meine Muttersprache, wobei ich auch dort hin und wieder etwas Englisch einflie\u00dfen lasse.", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 1440, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}}}
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Proficient at building cross -functional \npartnerships to deliver projects that drive strategic business growth. \n \n \n \n \nEXPERIENCE \n \n \nData Analytics Intern, XING, Hamburg                                                              Nov 2024 - Apr 2025 \n \n\u2022 Deployed bot detection models using random forests on dbt to segregate user and bot behavior \nto report accurate business traffic numbers. \n\u2022 Built Tableau dashboards for stakeholders (Business Managers) to monitor B2B contracts and KPIs \nto drive business decision-making. Utilized dbt models as the data sourc e, orchestrated using \nAirflow DAGs. \n\u2022 Delivered analysis reports on A/B test experiments and marketing use cases related to revenue \nand business growth on Snowflake using SQL. \n \n \n \nData Analyst (Working Student and Master Thesis), XING, Hamburg             Oct 2022 - Mar 2024 \n \n\u2022 Developed dashboards on Tableau for stakeholders ( Product Managers/POs/Designers) every  \nmonth to deliver actionable user behavior insights and visualizations from quantitative and \nqualitative user feedback data. \n\u2022 Trained a transformer-based BERT model on AWS SageMaker as an NLP task for Master Thesis to \noptimize internal user feedback routing by 32%. \n\u2022 Developed ETL data pipelines on AWS using APIs in real -time integrated with Microsoft Teams,  \nimproving text data processing efficiency by 134%.  \n \n \n \nData Analyst, PowerSchool, Bangalore, India                                May 2021 - Mar 2022 \n \n\u2022 Leveraged school enrollment data  to forecast  future student enrollments across 140 public \nschools in the USA through statistical projections. \n\u2022 Applied statistical and analytical assumptions to improve admission forecasts by 8%. Assisted \nstakeholders using Excel reports with recommendations on metrics of facility management, staff \nallocation, and resource inventory. \n\u2022 Collaborated with schools to resolve enrollment data discrepancies determined by analyzing data \nfrom PowerSchool\u2019s internal database using SQL. \n\u2022 Worked in an agile team to foster continuous learning and improvements. Employed Salesforce \nas a CRM tool to streamline internal workflow. \n \n \n \nAssociate Technical Analyst, IBM, Bangalore, India                     Jul 2019 - Jan 2021 \n \n\u2022 Applied predictive modeling using XGBoost to forecast call volumes from IBM databases, enabling \nsenior management to make data-driven decisions that optimized roster schedules by improving \nstaffing efficiency by 7%. \n\u2022 Conducted internal team training on machine learning and AI to achieve annual learning targets.", "mimetype": "text/plain", "start_char_idx": 8, "end_char_idx": 2858, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "151d740a-48b4-4a67-8a7f-6262f9ced43a": {"__data__": {"id_": "151d740a-48b4-4a67-8a7f-6262f9ced43a", "embedding": null, "metadata": {"page_label": "2", "file_name": "Resume_SuhasKamuni.pdf", "file_path": "Resume_SuhasKamuni.pdf", "file_type": "application/pdf", "file_size": 168632, "creation_date": "2025-11-01", "last_modified_date": "2025-11-02"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "8ab8c8c9-0806-4679-99dd-2ce426fad19f", "node_type": "4", "metadata": {"page_label": "2", "file_name": "Resume_SuhasKamuni.pdf", "file_path": "Resume_SuhasKamuni.pdf", "file_type": "application/pdf", "file_size": 168632, "creation_date": "2025-11-01", "last_modified_date": "2025-11-02"}, "hash": "000f9de27a2ce2c516dae49477d8a732d040336993a2785dbfa17f54977a71c9", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "\u2022 Delivered reports with predictions of user sentiments from incoming calls to flag potential DSATs, \nreducing SLA breaches and improving service consistency. \n\u2022 Played a key role in optimizing business processes by presenting insights and visualizations from \ncall data as solutions to the production floor. \n\u2022 Performer of the Month for December 2020. \n \n \n \nEDUCATION \n \nUniversit\u00e4t Bielefeld, Germany                              Mar 2022 - Sept 2024 \nMaster of Science in Data Science                                   Grade: 1.8  \n \nVisvesvaraya Technological University, Bangalore, India                    Aug 2015 - Jun 2019 \nBachelor of Technology in Electronics and Communication Engineering     Grade: 2.3 \n \n \n \nKEY SKILLS AND CERTIFICATIONS \n \nProgramming languages and Tools: Python, SQL, GitHub, Docker \n \nTechnical expertise:  Tableau, AWS Sagemaker, dbt, Snowflake, BigQuery, Airflow, pandas, NumPy, \nTensorflow, LangChain, PyTorch, Scikit-learn, seaborn \n \nSoft skills: Never settle ethic, Receptive to feedback, Strong written and verbal communication  \n \nCertifications: Google Data Analytics, IBM Data Science \n \nLanguage Proficiency (CEFR Level)       \n \nEnglish - C2, German - B2, Hindi - C1, Telugu (Mother Tongue), Kannada - C1    \n \n \n \nTECHNICAL PROJECTS \n \nRAG System using Gen AI               Apr 2025 - Jul 2025 \n \n\u2022 Designed and deployed a RAG system using LlamaIndex to process multiple data sources (PDFs, \ntext files, APIs) with FastAPI endpoints for research applications. \n\u2022 Integrated IBM Granite LLM and ChromaDB vector database to store text chunk embeddings and \nenable efficient semantic search. \n\u2022 Built a QA agent that retrieves contextually relevant information to provide relevant responses to \ndomain-specific research queries. \n \n \n \nForecasting Future Stock Prices                                                 Jun 2024 - Aug 2024 \n \n\u2022 Built neural network models of GRUs  and LSTMs to forecast stock prices that return 8-17% on \nsimulated investments for strategically timed trades. \n\u2022 Orchestrated model execution through Airflow DAGs, implementing hourly scheduling to capture \ncritical market volatility and price movements. \n \n \n \nBielefeld, November 2025", "mimetype": "text/plain", "start_char_idx": 10, "end_char_idx": 2222, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "e940836c-b4a3-4e2a-891f-0332b1920406": {"__data__": {"id_": "e940836c-b4a3-4e2a-891f-0332b1920406", "embedding": null, "metadata": {"file_path": "about_me.txt", "file_name": "about_me.txt", "file_type": "text/plain", "file_size": 1081, "creation_date": "2025-11-01", "last_modified_date": "2025-11-02"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "5d7f9ee9-cf78-455b-8d4d-bfdf85285adc", "node_type": "4", "metadata": {"file_path": "about_me.txt", "file_name": "about_me.txt", "file_type": "text/plain", "file_size": 1081, "creation_date": "2025-11-01", "last_modified_date": "2025-11-02"}, "hash": "d1539be0e484639f1b6bcc64368355b98d6141009b66b82d8adf51946f042979", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Hi, I'm Suhas Kamuni, and I'm a data science/analytics professional with four years of overall industry experience in solving business use cases through analytics, python, and machine learning solutions for model development at companies of IBM, XING, and PowerSchool. \r\nPassionate and skilled in building relationships with cross-functional teams for strategic growth. Envious of continuous learning, professional growth, and a cheerfull environment.\r\n\r\nKey Skills and Tools:\r\n* Programming Languages: SQL, Python, R.\r\n* Data Warehousing: Snowflake, dbt, BigQuery.\r\n* Data Manipulation: SQL, Pandas, NumPy, Polars.\r\n* Data Preprocessing: Feature Engineering, Feature Scaling, Normalization, Encoding, ETL.\r\n* Data Modeling: dbt, Airflow.\r\n* Machine Learning: Supervised Learning, Unsupervised Learning, Artificial Neural Networks.\r\n* Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, Plotly.\r\n* Workflow Ethic and Version Control- CI/CD, Git, GitHub \r\n* Other Skills: Ad-hoc Analysis, KPI Implementation, A/B Test Analysis / Experiments, Data Storytelling, Statistics.", "mimetype": "text/plain", "start_char_idx": 2, "end_char_idx": 1081, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "5527c28c-7f96-4984-af27-7e108c2d6a58": {"__data__": {"id_": "5527c28c-7f96-4984-af27-7e108c2d6a58", "embedding": null, "metadata": {"file_path": "more_about_me.txt", "file_name": "more_about_me.txt", "file_type": "text/plain", "file_size": 1276, "creation_date": "2025-11-02", "last_modified_date": "2025-11-02"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "412d76a7-d4df-447d-b8b9-2c8d2d60b63a", "node_type": "4", "metadata": {"file_path": "more_about_me.txt", "file_name": "more_about_me.txt", "file_type": "text/plain", "file_size": 1276, "creation_date": "2025-11-02", "last_modified_date": "2025-11-02"}, "hash": "f3cfb62859445126681cd47bc639c4c0abbf1b2364faf76ec5a651f0d5d32edc", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "\ufeffI go bouldering, since it is a very engaging activity that assists in a better body physique and overall agility. I enjoy the sauna after bouldering as well, cause it helps you sweat more and increase stamina.\nI love playing guitar, specifically the metal genre, as the technical aspects of playing lead guitar is rooted in jazz music, and it becomes very involving and overall a good distraction and satisfaction to everyday work.\nI love watching football as well. Mostly, the English premier league and the champions league. These are world-renowned for how good they are, and the fans are also very enthusiastic about players and their clubs. I support Manchester City :).\nTable tennis is something that I've excelled at in school and in my bachelors. I've represented my institutions at state level and play rund-lauf every Thursday here in Bielefeld.\nI speak around 5 languages including Telugu, Hindi, Kannada, English and German. My strongest strength is my pronunciation in English and German which my friends really appreciate. I picked up the pronunciation when I was working at PowerSchool, I got to talk to Americans on a daily basis and I picked up the accent here. Telugu is my mother tongue, however, I do incorporate a little bit of English here as well.", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 1271, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}}}

index_storage/index_store.json

@@ -1 +1 @@
-{"index_store/data": {"358f1d67-b200-4c9a-b938-dc7b8c57be4e": {"__type__": "vector_store", "__data__": "{\"index_id\": \"358f1d67-b200-4c9a-b938-dc7b8c57be4e\", \"summary\": null, \"nodes_dict\": {\"2e255ff4-509b-4968-9eca-e88900a47644\": \"2e255ff4-509b-4968-9eca-e88900a47644\", \"40bbed03-c20d-421e-8a05-be9f32fb9a39\": \"40bbed03-c20d-421e-8a05-be9f32fb9a39\", \"6442eee1-a174-48fc-be4d-b7fdef02cbd6\": \"6442eee1-a174-48fc-be4d-b7fdef02cbd6\", \"242a281a-69d1-49ae-9380-e0ead4a41c15\": \"242a281a-69d1-49ae-9380-e0ead4a41c15\"}, \"doc_id_dict\": {}, \"embeddings_dict\": {}}"}}}
+{"index_store/data": {"96d0dac4-fbfc-418c-b203-cad22eab759b": {"__type__": "vector_store", "__data__": "{\"index_id\": \"96d0dac4-fbfc-418c-b203-cad22eab759b\", \"summary\": null, \"nodes_dict\": {\"d35e49e3-6911-4533-a6c5-c81385c067c3\": \"d35e49e3-6911-4533-a6c5-c81385c067c3\", \"151d740a-48b4-4a67-8a7f-6262f9ced43a\": \"151d740a-48b4-4a67-8a7f-6262f9ced43a\", \"e940836c-b4a3-4e2a-891f-0332b1920406\": \"e940836c-b4a3-4e2a-891f-0332b1920406\", \"5527c28c-7f96-4984-af27-7e108c2d6a58\": \"5527c28c-7f96-4984-af27-7e108c2d6a58\"}, \"doc_id_dict\": {}, \"embeddings_dict\": {}}"}}}

more_about_me.txt

@@ -1,9 +1,7 @@
-Ich gehe regelmäßig bouldern, da es eine sehr abwechslungsreiche Aktivität ist, die zu einer besseren körperlichen Fitness und allgemeinen Beweglichkeit beiträgt. Nach dem Bouldern genieße ich auch den Saunagang, da er hilft, den Kreislauf anzuregen und die Ausdauer zu steigern.
+I go bouldering, since it is a very engaging activity that assists in a better body physique and overall agility. I enjoy the sauna after bouldering as well, cause it helps you sweat more and increase stamina.
+I love playing guitar, specifically the metal genre, as the technical aspects of playing lead guitar is rooted in jazz music, and it becomes very involving and overall a good distraction and satisfaction to everyday work.
+I love watching football as well. Mostly, the English premier league and the champions league. These are world-renowned for how good they are, and the fans are also very enthusiastic about players and their clubs. I support Manchester City :).
+Table tennis is something that I've excelled at in school and in my bachelors. I've represented my institutions at state level and play rund-lauf every Thursday here in Bielefeld.
+I speak around 5 languages including Telugu, Hindi, Kannada, English and German. My strongest strength is my pronunciation in English and German which my friends really appreciate. I picked up the pronunciation when I was working at PowerSchool, I got to talk to Americans on a daily basis and I picked up the accent here. Telugu is my mother tongue, however, I do incorporate a little bit of English here as well.
 
-Ich spiele leidenschaftlich gern Gitarre, vor allem im Metal-Genre. Die technischen Aspekte des Lead-Gitarrenspiels haben ihren Ursprung im Jazz, was das Spielen besonders spannend macht und mir eine gute Abwechslung und Zufriedenheit zum Arbeitsalltag bietet.
-
-Außerdem schaue ich sehr gern Fußball – hauptsächlich die englische Premier League und die Champions League. Diese Wettbewerbe sind weltweit bekannt für ihr hohes Niveau, und die Fans sind unglaublich leidenschaftlich. Mein Lieblingsverein ist Manchester City :).
-
-Tischtennis ist eine weitere Leidenschaft von mir. Schon in der Schule und im Bachelorstudium habe ich meine Einrichtungen auf Landesebene vertreten. Hier in Bielefeld spiele ich jeden Donnerstag Rundlauf.
-Ich spreche etwa fünf Sprachen: Telugu, Hindi, Kannada, Englisch und Deutsch. Meine größte Stärke ist meine Aussprache im Englischen und Deutschen, was meine Freunde sehr schätzen. 
-Ich habe sie während meiner Arbeit bei PowerSchool verbessert, wo ich täglich mit Amerikanern gesprochen habe und ihren Akzent übernommen habe. Telugu ist meine Muttersprache, wobei ich auch dort hin und wieder etwas Englisch einfließen lasse.
+