Jan 2022 – Mar 2023 · 1 yr 2 mos · Mountain View, California, United States

Aug 2020 – Dec 2021 · 1 yr 4 mos · Mountain View, California, United States

Feb 2019 – Jun 2020 · 1 yr 4 mos · San Francisco Bay Area

Sep 2018 – Jan 2019 · 4 mos · San Francisco Bay Area

• Developed A/B testing framework and build measurement metrics to evaluate lead generation and conversion for EverString’s marketing campaigns. Improved leads conversion by over 8%
• Predicted lead conversion probability for customers using Logistic Regression to help them develop targeted marketing campaigns
• Worked cross-functionally with multiple teams to generate ideas, devise roadmaps and prioritize core projects

Apr 2018 – Jul 2018 · 3 mos · San Francisco Bay Area

• Classify companies into industry type based on their attributes like company description, technologies used and location
• Identify keywords from company description using text mining
• Perform dimensionality reduction using NLP techniques including TF-IDF approach, N-grams, Clustering and Random Forest
• Classify companies to an industry category using supervised and unsupervised machine learning algorithms
• Helps businesses identify target B2B market

Sep 2017 – Jun 2018 · 9 mos · San Diego County, California, United States

• TA for courses Linear Algebra, Calculus and Probability & Statistics.
• Responsibilities include leading classroom teaching sessions, MATLAB sessions and grading.

Jan 2015 – Dec 2016 · 1 yr 11 mos

• Predicted credit rating of banks & financial institutions using logistic regression to gauge exposure risk. Ratings were used to feed internal credit risk model and resulted in better estimation of capital requirements
• Modeled asset prices by implementing stochastic predictive models including Stocks, Options, Swaps, Mortgage Backed Securities, etc.
• Forecasted portfolio valuation and risk using simulations-based approaches (Monte Carlo and Historical Simulations)
• Performed stress testing on models using synthetic stressed economic scenarios
• Optimized computation time of risk reports by ~50% by designing and implementing clustering techniques for interest rate curves
• Undertook research on various models’ strengths and weaknesses to improve the modeling results to best suit the business requirements
• Lead a team of 4 to steer a risk model validation project for a major US bank
• Collaborated with data engineer, model governance and risk teams across geographic verticals

Aug 2011 – Dec 2014 · 3 yrs 4 mos

• Credit Risk :
• Experience in counterparty credit risk management with key role in exposures and limit management.
• Exposure to credit rating model.
• People management including coaching, mentoring and training for the team and new hires.
• Trade Management:
• Monitoring trade life cycle and preparing pitch metrics.

Jan 2011 – Jul 2011 · 6 mos

• Financial Planning, Control and Analysis:
• Revenue and cost forecasting for Analytics business domain
• Optimization of online tool for tracking pipeline projects for revenue tracking