May 2022 – Aug 2022 · 3 mos · New York, United States

• Quant Research: Researched and analyzed the FNMA single-family loan acquisition and performance data to develop a loan level Markov transition model for GSE loans to better access loan delinquency, prepayment, default, and credit risk
• Optimization: Revitalized manual process to load, analyze, and generate transition matrix from Fannie Mae loan population into automated and click-only process by reducing data processing run-time from 16-20 hours to 4-5 hours

Jun 2020 – Aug 2021 · 1 yr 2 mos · Bengaluru, Karnataka, India

• Lead Generation, Prioritization, and Image Automation
• Leadership: Ideated and headed web-crawler and machine learning initiatives; cultivated and mentored a team of 100+ members; worked on multiple business proposals and helped team in winning 10+ POCs on lead generation and prioritization
• Deep Learning: Trained and deployed multiclass YOLO object detection models to inspect and access electrical assets; Developed and presented a working prototype classifying buildings and swimming pools from aerial images to attract clients

Jul 2018 – May 2020 · 1 yr 10 mos · Bengaluru, Karnataka, India

• Audio Emotion Intelligence (Jan 2020 - May 2020)
• Developed an interactive DASH application that can record and play audio in real-time, extract audio features and predict gender & emotions using Convolutional Neural Network that can enhance the effectiveness of IVR
• Customer Segmentation and Prospect Scoring (Sep 2019 - Apr 2020)
• Conceptualized, designed, and operationalized Customer Segmentation, Prospect Scoring, LTV Prediction, Free Trial to Paid Forecasting, and Hierarchical Content Clustering model on AWS Sage-maker for an M&E company
• Performed thorough data exploration and analysis that led to client re-evaluating their $100k+ contract
• Web Crawling and Prioritization (Jul 2018 - Aug 2019)
• Core member of 'IRG - Intelligent Revenue Growth' engine development team to derive maximum sales & revenue
• Conceptualized and implemented AI web-crawlers to extract lead prioritization signals from 500k+ web-pages
• Ideated and headed the web-crawler initiatives in a group of 50+ members; coached and mentored the team

May 2017 – Jul 2017 · 2 mos · Bengaluru, Karnataka, India

• Achieved the highest rating among all interns and got selected for demonstrating video intelligence techniques and live prototype in 13th CII India Innovation Summit
• Bagged a pre-placement offer for the full time position from the company
• Computer Vision and Deep Learning Application:
• Devised and implemented a new methodology to automatically analyze multiple surveillance videos in real time by raising alarm based on anomalous behavior
• Identified and localized people/objects by training Convolutional Neural Network leveraging GPU from Google Cloud Services and tracked their movements using OpenCV
• Integrated Google's Tensor-Flow API for human detection to achieve an accuracy(>98%)

Jul 2017 – Jun 2018 · 11 mos

• Subject tutor for Probability and Stochastic Process coursework with Professor Niladri Chatterjee
• Conducted weekly tutorials and problem-solving sessions, helped in scheduling examinations, and evaluating assignments.

May 2016 – Jul 2016 · 2 mos · New Delhi, Delhi, India

• Conceptualized and designed a stock-market application leveraged actively by 10+ members
• Obtained a pre-placement offer for the full time position from the company
• Live Stock Market Watch and Stock Screening Software:
• Built a python software to analyze live stock market feed and back-testing of stock market data
• Implemented features such as Real-Time Market Watch, Live Charts, Alerts, Technical Analysis, Black Scholes Option Pricing Model, etc. in the working prototype of the software application
• Developed a MS-EXCEL like functionality of RTD server to display live market data in open-office

Jun 2015 – Jul 2015 · 1 mo · Delhi, India

• Researched the market to find and shortlist potential associates
• Worked on bringing potential associates on board (Strategic Alliance)
• Communicated the brand purpose and mission to potentials via multiple mediums as email marketing, telephonic discussions and personal meetings