Being a Computer Scientist and Engineer, I have been exposed to many kinds of programming languages and domains. I am particularly interested in Machine Learning and Deep Learning. I have experience working with projects which use all types of data including images, audio, and text using Computer Vision, Audio Signal Processing and NLP techniques. Have relevant Data Science work experience with global clients.
Experience using Deep Learning frameworks : PyTorch
Skills : Python, SQL, R, Hadoop, Spark, Tableau, Django, C++, Javascript, HTML, JIRA, Agile
https://github.com/harishganesan
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Experience
ITC Infotech - Analyst (Client: Sutter Health) Walnut Creek, CA June 2019 – Present
Used R, SQL & EPIC to automate Business Intelligence - Data Cleaning & Visualization instead of Excel, saved 30 man-hours a month
Created technical specifications and requirements for the client by speaking to various business, technical stakeholders and users
In charge of Unit, Regression, Integration testing & Deployment of code every sprint. Also groom JIRA Boards and run daily Stand-up
interactiveX - Software Engineering Intern Buffalo, NY June 2018 – August 2018
Made product enhancements and bug-fixes for this ed-tech startup using Python-Django framework, Javascript, d3.js, HTML, CSS
Created several charts including a calendar heat map using d3.js and Python to track student attendance throughout the semester
Tested and Deployed entire application using Docker, taking product live to market with thousands of student users
Mu Sigma - Trainee Decision Scientist Bangalore, India August 2016 – July 2017
Created, maintained and optimized dashboards with over 50 home and motor insurance related metrics for one of Australia’s biggest
insurance and banking firms using Tableau and SQL (Redshift & Netezza)
Performed Root Cause Analysis for a reporting issue which showed discrepancies of 1 million USD between the financials present in
the Home Insurance Portal and the General Ledger in 1 month
Worked within the Agile framework - ran Iteration Planning, Retrospective and daily Stand-Up meetings, issue tracking with JIRA
Messy Fractals - Data Science Intern Bangalore, India January 2016 – May 2016
Built player metrics to evaluate player performance and subsequently calculate Win/Lose Probability for each team in the
Pro-Kabaddi League using Linear Regression in R
Created a dynamic player performance visualizations based on underlying data and metrics developed using Google
Charts and d3
Set up a website for the company using Wordpress, co-created a board game for Kabaddi enthusiasts and designed the company logo
Smashing Pixels - Web Dev Intern Bangalore, India January 2014 – March 2014
Built the back-end infrastructure for three websites using PHP and Wordpress and front-end in HTML, CSS and Javascript
for varying clients (Work done - http://calcuttawalks.com/)
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Projects
Created word clouds in d3.js by using more than 500 articles from New York Times containing 40,000+ words and ~50,000
tweets using Hadoop Map-Reduce to analyze word frequency usage and word co-occurrence
Created a “flu” heat-map of USA using 100,000+ tweets collected and analyzed based on geocoded data in R
Built a data pipeline in Spark using MLlib to classify news articles into different categories with accuracy 94% among 3 models
Built an extractive document summarizer in PyTorch, using 2 bi-directional RNNs with GRUs, achieving ROUGE-1 score of 25.8
Published a research paper based on a Music Mood Detector, which extracted musical features from songs and classified
them into 4 moods with 78% accuracy (DOI : 10.1109/INVENTIVE.2016.783019)
Implemented a Street Sign Recognition system in MATLAB. Recognizes 5 types of signs with 91.2% accuracy
Created an automatic robot designer based on 2 resource constraints (mass and cost) and 5 functionalities using Monotone Co-Design
Problem Language (MCDPL) to construct a land based rover with 4 main parts