Feb 2025 – Mar 2025 · 1 mo · Bengaluru, Karnataka, India

• Taking a short break to recuperate and some personal obligations. Explore Generative AI across multiple use cases and estimate efficacy for fun.

Jan 2022 – Jan 2025 · 3 yrs

• Building Team
• Dynamic Pricing
• Demand Shaping Algorithms
• ETA Prediction
• Demand Forecasting
• Large Scale Machine Learning Systems

Jun 2019 – Apr 2021 · 1 yr 10 mos · Mumbai Metropolitan Region

• Alternate Data Sets
• Machine Learning
• Statistical Arbitrage
• Deep Learning Models for Index Returns
• Full Lifecycle Machine Learning (Concept to Platform)

May 2018 – Jul 2019 · 1 yr 2 mos · Bangalore

• Machine Learning for Quantitative Trading
• Alternate datasets for informational arbitrage
• Traditional Price, Order and (F&O) data

Oct 2017 – May 2018 · 7 mos · Gurugram, Haryana, India

• Understanding Cricket better through Data Science.
• Modelling performance analysis using novel resource methodology.
• Dynamically pricing players during the IPL auction.
• Driving & Hacking growth to ProSportsLeague gaming site.
• Pretty much everything data & experimentations.

Jul 2016 – Sep 2017 · 1 yr 2 mos · Gurugram, Haryana, India

• Patient Journey modelling by trying to predict future occurrences of diagnosis, treatment based on past sequence data.
• Survival Curve modelling and projection beyond designated time using data distributions and non-linear curve fitting.
• Automated Reporting Framework built using Jupyter Notebooks and Python for Exploratory Pieces on lines of reproducible and peer-reviewed knowledge/ research sharing. Reduced turn-around time for reporting by 80% for new updates, versions.
• Parsed some complicated XML files to create Tabular Data Set from open data sets. Used a combination of R with Python to create dynamic programming based algorithm to do this at super speed.

May 2015 – Jul 2015 · 2 mos · Gurugram, Haryana, India

• As Tech Intern at Microsoft SMSG, my project was to come up with a blueprint to build a scalable and profitable Xbox One Retail Program.I took a Data based approach to come up with a series of recommendations for the same.
• The marketing strategy based on video sharing was conceptualised and shared which forms the core of the entire marketing efforts in India.
• The template of leveraging of power users aka hardcore gamers to drive engagement and convert future customers has been adopted widely across the space.

Nov 2014 – Jun 2016 · 1 yr 7 mos · Online

• Part of the research consultant team . This is a contract based part-time position wherein a consultant builds mathematical formula/models for WorldQuant to trade on.

May 2014 – Jul 2014 · 2 mos · Gurugram, Haryana, India

• Worked on Classification Algorithms and approaches for the Forest Classification Data set based on 1999 research paper by Jock A Blackard. The ensemble classification model build was able to match the 71 % accuracy benchmark achieved by Blackard's Neural Network.

Jun 2013 – Jul 2013 · 1 mo · Greater Delhi Area

• I was introduced to Train Power Supply Unit ,Propulsion , Auxiliary Power Unit , TCMS or Train Control and Management System etc . Overall it was an enriching experience as the study was complemented by on field analysis and experimentation . The internship helped me gain an insight into applications of course ware.

Apr 2012 – Dec 2014 · 2 yrs 8 mos · Roorkee

• To create awareness and provide guidance to academic and non-academic staff, students, scholars and outside agencies on the practices and the rules of the Institute regarding intellectual property rights (IPRs) and obligations within the frame work of the IPR policy of the Institute.

Jan 2011 – Jan 2016 · 5 yrs