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Talentsky, Inc.

August 2020 - present

Data Science Engineer

Work on NLP and Back-End tasks

Used web scraping library Jsoup in Java to implement URL link sharing feature for Talentsky's messaging platform. Cached URL OpenGraph metadata for faster access.

Worked on the back-end to implement image recommendations for user inputted tasks and achievements using Word2Vec and cosine similarity. This AI functionality enriches UI/UX through relevant images recommendations for the achievements text inputted by users by comparing it with the existing image tags in the elastic search database and sorting the results to filter the top relevant image suggestions.


May 2019 - December 2019

Machine Learning (Computer Vision) Intern

Bloomington, IN, US

● Developed a real-time eye-tracking app using NumPy, OpenCV, CMake, sklearn achieving 20% less pixel error than existing open source projects. ● Automated suspicious activity detection in airport and parking lot videos using TensorFlow, object detection (YOLOv3) and tracking (DeepSORT) cutting monitoring efforts by 80% and expenditure by 50%. ● Bench-marked and evaluated proprietary AI models using pandas, matplotlib identifying cases requiring retraining resulting in cloud computing cost reduction by 70%. ● Engineered an end-to-end smart parking app using NVIDIA Jetson TX2, Docker, NVIDIA DeepStream, Kafka. ● Built and trained deep learning models using Tensorflow to predict eye gaze from image and video datasets to identify distracted drivers and reduce car accidents. ● Communicated results to team members and business clients on a biweekly basis. ● Toolkit: Python, C++, OpenCV, Cmake, Numpy, Scikit-learn, Scipy, Dlib, tKinter, YOLOv3, DeepSORT, NVIDIA Jetson TX2, Pandas, Matplotlib, ctypes, Javascript, Linux, Bash, Git, Docker
September 2019 - October 2019 

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%.

May 2019 - August 2019 

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

My education

Indiana University

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

R.V. College of Engineering

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

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