About me

about-img

I'm a Data Scientist / Machine Learning enthusiast based in Palo Alto California, USA.

My field of interests is Machine Learning, Artificial Intelligence and Deep Learning. I have been working on multiple projects related to classification and prediction models. Working as a Data Researcher at USC IMSC Labs I analyzed human behavior during disaster situation.
I interned at Archie.AI an Artificial Intelligence start-up, in San Francisco. Here I built Recurrent Neural Networks (RNN) and Generative Adversarial Networks (GANs) to make Archie.AI better in analysing business data.
While working on these projects, I published a technical blog on one of the neural networks I was working on. It was published on Medium.com and was featured under Artificial Intelligence section with more than 15k views and upvotes.
Further at Archie.ai, I released three tutorial videos for anyone interested to understand the concepts of Machine Learning and build their own models within few minutes. All three of them combined have got more than 25K views and I do plan to release more such tutorial videos and blogs.
So if you have a position related to Machine Learning, Deep Learning or Software Development open for which I could be the right fit, I would love to discuss it.

Projects

Check out more Projects

Education

University of Southern California

Currently pursuing Master's in Data Science.
CGPA - 3.5
August 2016 - May 2018
Data Researcher at IMSC Lab USC
Published Machine Learning Research Papers

University
University

Vellore Institute of Technology

Bachelor's of Technology in Computer Science.
CGPA - 3.8
July 2012 - May 2016
Member of Creations Lab at VIT

Pace Junior Science College

HSC Board
Percentage: 87%
July 2010 - May 2012
Scholarship by Innovation in Science Pursuit for Inspired Research(INSPIRE)

College
School

Hiranandani Foundation School

ICSE Board
Percentage: 88%
Till May 2010

Experience

Data Science Engineer

June 2017 - August 2017
1. Worked on Deep Learning models - RNN and GANs for anomaly detection and Google Adword optimization.
2. Greated a Crowdsourcing application called Jeopardy.

Archie.AI
IMSC Research Lab

Graduate Student Researcher

October 2016 - Present
1.Proposed a framework for geo-spatial sentiment analysis of disaster-related social media data objects, by addressing three types of challenges: the inaccuracy and discrepancy associated with various text and image sentiment classifiers, the geo-sentiment discrepancy among data objects in a local geographical area, and observing diverse sentiment from multimedia data objects (i.e., text and image).
2.Proposed an algorithm to identify relevant messages based on matching keywords and hashtags contributing to situational awareness during disasters.

Software Engineer

January 2016 - July 2016
1. Project Lead of “Jellow” - Developed a multilingual Alternative & Augmentative Communication (AAC) App especially for children suffering from Cerebral Palsy (difficulty in speaking) and for a general Educational purpose.
2. Implemented preference algorithm and performed server-side user data analysis using PHP, MySQL and Python2.7.

IDC, IIT Bombay
Blazingtrail

Full Stack Developer

May 2015 - July 2015
1. Project “DigiDoc” - added the feature to save pictures of the document along with extracting useful information for analysis.
2. Technologies incorporated - OpenCV libs, canny edge detection, Gaussian blur, OCR Tesseract for image text extraction.

contact

Email: sumeetag@usc.edu
Phone: +1 213 274 2129