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Product Engineer
Sprinklr•  August 2020 - Present
- Re-engineered the location detection algorithm, made business-critical logic changes and code optimizations, increasing its accuracy to 98.9% on the golden dataset. - Resolved 7 customer concerns and critical issues related to inaccuracies in location data as part of the 16.10 product release (Nov 2021). - Proposed and implemented an innovative solution to include enhanced visual categories on the Sprinklr platform (60 in old model -> around 5000 in new model). - Introduced tags and mapping between old and new categories to include both types of categories for customers to see and filter from, thereby avoiding any inconvenience. - Identified and worked on bugs/issues based on priority, and on major features (1-2 every quarter, collaborating with PMs, Senior Devs, QAs and Support Engineers in the process). - Fixed production issues relating to slowness, lags, high loads, etc. during oncalls, kept the alert resolution time within 1-2 hours on average.
Quantitative Analyst
Kivi Capital•  May 2019 - July 2019
- Generated profitable trading strategies - around 2-times increase in Sharpe Ratio (22 -> 42), following mutual funds investing in NSE symbols and backtesting on previous years' data. - Found 9 analytic ratios to distinguish investments based on profitability, liquidity, leverage, etc. during Fundamental Analysis to give better alphas for investment.
Education
IIT, Kharagpur (Indian Institute of Technology)
Instrumentation Engineering, B.Tech•  July 2016 - June 2020
Also completed Minors in Computer Science, with an overall CGPA of 8.89/10.
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