This is my online portfolio.
My name is
I am an IT undergrad with experience in marketing/sales & product development. My aim is to pursue a challenging career in the growing field of technologies and be a part of the progressive organisation that gives a scope to enhance my knowledge and makes me utilise my skills towards the growth of the organisation and to my self.
CGPA: 7.05/10
CGPA: 7.8/10
Percentage: 73.00%
A community of developers, designers and hustlers with an aim to bridge the skill gap between colleges and corporates. It provides open learning ecosystem for enthusiasts & experience with industrial research projects. Being a community manager, Campus Ambassador Program gives me an amazing experience to deal with corporates, students, and startups.
TED is a nonprofit devoted to spreading ideas, usually, in the form of short, powerful talks where it stands for Technology, Entertainment, and Design. The TEDx Program is designed to help communities, organisations, and individuals to spark conversation and connection through local TED-like experiences. TEDx has proved to be the world's largest grassroots movement, empowering thinkers, doers and change-makers everywhere. 2018 event led a spark inside me with a wonderful experience of leadership and embedded more strategies of marketing & sales into me, with teamwork.
A not-for-profit organisation which provides international internships which includes a package of the journey and international experiences & exposures where working as Marketing manages introduced me to this enormous field and helped me gain interest and experience.
Highlights
Exploring the world of data science with a vision to use it for the market research. (Big data, Hadoop, R Dashboards)
Cloud technologies using Google Cloud Platform. Making clusters, VM instances, Deploying servers etc. Earned Google Qwiklabs badge.
Doing market research for customer acquisition using online tools ( Google marketing platform, Facebook pixel) and offline strategies. Having an experinece as AISSEC marketing team.
Good verbal communication skills, fluent in three languages ( English, Hindi, Telugu ). Experienced in partnerships & client relations.
research paper published
Awards Won


Windy
Team Sponsor
PHP, VB, C++, Arduino, Linux Operating
Engineer for Interactive+ official site. Created WeiSuoStudio in 2013, participates in 60% of Interactive+'s projects
Wey(Safari)
Candidate for vice-president
VB, Arduino, C++, Idea
Active member of the 2017 year of Interactive+. Joined in 2015, start to be active since 2016-2017, a person full of idea
Silent
Active Member
Full Stack Beginner, 51MCU Beginner, VB Beginner
The winner for 2017 "Lalala" price. Joined in 2015, now stopped with technological study, but he is actually busy in academics, so we can understand him. Hope to do more group projects with him
TrictOrTreat
Active Member
C#, VB, XAML, Arduino, Raspberry, Linux Operating Beginner
The winner for 2017 "Cute" price. Joined in 2016. always being active and studying. Know studying C#, Heretic(Becuase he likes WindowsPhone)
Little White
Active Member
C++ Beginner, Cyber Security Beginner
The winner for 2017 "Knowing most Dalao" price. Joined in mid 2016, always being active. He knows a lot of Dalao(talented people), and knows a bit of virus + DDOS techniques.
Meteoroid
Super Active Member
Full Stack Website Developer, Linux Operating
A half-Dalao. Joined in 2014-5, Always studying the ways to keep coding efficient and safe. Participated in about 40% of Interactive+'s projects
Assassin
Member
C++
Joined in 2015-6, Sutyding C++ until now, cares a lot about the development of Interactive+, and takes the job as a designer
MAX
Member
C++ / OIER / C# / Frontend
Joined in 2018-1, a powerful new member. He is very passionate about programming and his biggest hope is to be famous and make something big.
Aomi Raku Luo
Memeber
2D Design / Copywriting / VB
Joined in 2018-2. A friend of Trick or Treat, loves to do anything TrickOrTreat do including pretending to be cute.
Calabash Brother
Member
Java / Webpage
Joined in 2018-6, an ambitious member, but has some technical issues implementing demands, studied hard.
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No-U-Turn Sampler (NUTS)¶
-
class
sampyl.
NUTS
(logp, start, step_size=0.25, adapt_steps=100, Emax=1000.0, target_accept=0.65, gamma=0.05, k=0.75, t0=10.0, **kwargs)¶ No-U-Turn sampler (Hoffman & Gelman, 2014) for sampling from a probability distribution defined by a log P(theta) function.
For technical details, see the paper: http://www.stat.columbia.edu/~gelman/research/published/nuts.pdf
Parameters: - logp – log P(X) function for sampling distribution
- start – Dictionary of starting state for the sampler. Should have one element for each argument of logp.
- grad_logp –
(optional) Function or list of functions that calculate grad log P(theta). Pass functions here if you don’t want to use autograd for the gradients. If logp has multiple parameters, grad_logp must be a list of gradient functions w.r.t. each parameter in logp.
If you wish to use a logp function that returns both the logp value and the gradient, set grad_logp = True.
- scale – (optional) Dictionary with same format as start. Scaling for initial momentum in Hamiltonian step.
- step_size – (optional) float. Initial step size for the deterministic proposals.
- adapt_steps – (optional) int. Integer number of steps used for adapting the step size to achieve a target acceptance rate.
- Emax – (optional) float. Maximum energy.
- target_accept – (optional) float. Target acceptance rate.
- gamma – (optional) float.
- k – (optional) float. Scales the speed of step size adaptation.
- t0 – (optional) float. Slows initial step size adaptation.
Example
def logp(x, y): ... start = {'x': x_start, 'y': y_start} nuts = sampyl.NUTS(logp, start) chain = nuts.sample(1000)
-
sample
(num, burn=0, thin=1, n_chains=1, progress_bar=True)¶ Sample from \(P(X)\)
Parameters: - num – int. Number of samples to draw from \(P(X)\).
- burn – (optional) int. Number of samples to discard from the beginning of the chain.
- thin – (optional) float. Thin the samples by this factor.
- n_chains – (optional) int. Number of chains to return. Each chain is given its own process and the OS decides how to distribute the processes.
- progress_bar – (optional) boolean. Show the progress bar, default = True.
Returns: Record array with fields taken from arguments of logp function.
-
step
()¶ Perform one NUTS step.