August 2020 - present
Data Science Engineer
● Working on skills recommendation engine.
May 2019 - December 2019
Machine Learning (Computer Vision) Intern
Bloomington, IN, US
Developed a video surveillance solution to detect stationary people and vehicles in parking lot and airport runway video feed helping cut monitoring costs by 50%.
Developed a real-time eye-tracking app using NumPy, OpenCV, CMake, sklearn achieving 20% less pixel error than existing open source projects.
January 2018 - June 2018
Data Scientist Intern
Hyderabad, Telangana, India
● Deployed a backend Document Analysis service using OpenCV, Tesseract and Django to automate filling of data into MS Excel from scanned bank documents reducing man-hours by 50% for clients. ● Analyzed and predicted the impact of a trade union’s promotional events on it’s members’ churn rate using ensemble learning achieving 83% recall, 12% improvement over their baseline model. ● Developed load forecasting models for electricity board using GRU and Time Series resulting in 30% less energy wastage. ● Automated document clustering for banking clients using Tesseract, NLTK and LDA cutting man-hours in half. ● Performed ETL in SQL and set up data pipelines. Created interactive dashboards using Tableau and R Shiny. ●Toolkit: Python, R, SQL, OpenCV, caret, dplyr, Hadoop, Hive, Linux, Statsmodels, Tensorflow, Django, Docker
August 2018 - May 2020
M.S. in Data Science
Bloomington, IN, US
Coursework: Machine Learning, Analysis and Design of Algorithms, Statistics, Deep Learning Systems, Computer Vision, Data Visualization, Elements of A.I., Management and Access of Big Data, Health Informatics
August 2013 - June 2017
B.E. in Computer Science
Bengaluru, Karnataka, India
Coursework: Data Structures, Algorithms/DS, Programming in C, Database Management Systems, Object Oriented Programming in C++, Computer Organization and Architecture, Operating Systems, Software Engineering