Successfully contributed to Fraud Detection Engine preventing fraud worth $100M every year. Skills Utilized - Python, Spark, Scikit-learn, Databricks, Flask.June 2020 - May 2021
Successfully delivered and forged a new key performance indicator (KPI) using a trend decomposition system built with Facebook Prophet to production with 5.36% mean error for gas station performance analysis across the USA. Deployed a React.js web dashboard for visualization of performance at store-level with the backend built using Node.js.May 2019 - August 2019
Designed and developed an image classifier for loop-closure detection for Visual SLAM in an autonomous vehicle setting. Ideated and implemented a new system to make datasets hosted on web servers and a REST API to access them while training thus enabling dataset modifications after release. Skills Utilized - Python, PyTorch, urllib.September 2018 - May 2019
Designed a computer vision based system for Traffic SurveillanceMarch 2018 - June 2018
Conducted research on impacts of cognitive data on facial expression recognition by deep learning classifiers. Resulted in publications at ICCV, CVPR. Skills Utilized - Python, Tensorflow, PyTorch, NVIDIA DIGITS.May. 2017 - Jun. 2018
This project proposes a new method to detect intersections in real time along with training a classifier from Google StreetView Images.