Sathish Sampath

Graduate Research Assistant

Areas of Research: Data Mining, Natural Language Processing, Data Visualization and Machine Learning

• Researched and developed an Intelligent Ecosystem Analyser in Python to extract structured and unstructured enterprise data, analyze it, determine the industrial trends and visualize it using D3.js
• Developed Python Web crawlers to extract API information and Mashup from different sources, analyze the relationship between different APIs and visualize the API Ecosystem
• Designed and developed Data pipelines to extract Company data from SDC Files and create network files for different Visualization tools.

System Engineer(Developer R & D)

Areas of Work: Information Extraction, Natural Language Processing, Web Development, and Machine Learning.

• Designed and developed an Information extraction engine in Python using Optical Character Recognition(Tesseract), Natural Language Processor(NLTK, SpaCy, and RegEx) and WebCrawler(Mechanize) to extract vital information from hundreds of structured/unstructured documents/websites in a few minutes.
• Built a Ruby on Rails web application to collect, store and version control multiple documents using Git. Developed and integrated the Python-NLTK Natural Language Processor to analyze the relationship between paragraphs of different documents. Reduced the time taken to find the impacted paragraphs in hundreds of documents due to a change in one document, from Months to Minutes. Deployed the application in analyzing the impact of Financial Regulatory changes over Loan/Credit Card Policy documents by a leading Financial Institution.
• Developed a Python-Flask Web application to monitor and analyze the energy consumption pattern of the commercial buildings. Developed and integrated Machine Learning models using Python(Scikit Learn), to predict the future energy consumption and comfort requirement of different floors/rooms, and optimize it. The application is currently deployed in few buildings(with more than 10,000 occupants) and it helped the Building Management to reduce the energy bill by 5-15%.

Georgia Institute of Technology

GPA: 3.86 / 4.00

College: College of Computing
Specialization: Machine Learning
Completed Courses

1. Machine Learning(CS 7641) - Professor Charles Isbell and Professor Michael Littman.
2. Computer Vision(CS 6476) - Professor James Hays.
3. Machine Learning for Trading(CS 7646) - Professor Tucker Balch.
4. Knowledge-Based Artificial Intelligence(CS 7637) - Professor Ashok Goel.
5. Data and Visual Analytics(CSE 6242) - Professor Guy Lebanon and Professor David Joyner.
6. Artificial Intelligence for Robotics(CS 8803) - Professor Sebastian Thrun.
7. Special Problem- Analyze the 10K Fillings of Fortune 500 companies using NLP, understand the strategies(success/failure) and visualize the industrial ecosystem. Researched under the guidance of Professor Rahul Basole