Jan 2022 – Apr 2022 · 3 mos

• Wrote code of an Android app that helps mugging up things.

Jan 2020 – Apr 2022 · 2 yrs 3 mos

• Wrote Python code to use the hostorical IPL match data to make Dream11 teams. Identified similarities and differences in Dream11 team making versus investment portfolio construction.

Jul 2019 – Apr 2025 · 5 yrs 9 mos

• Developed comprehensive understanding of the quant practices in asset and wealth management businesses, and specific classes of quant trading strategies in hedge funds, while owning the research on the quantitative models and interacting with various MDs and senior quants from year 1.
• Analyses:
• Conceptual Soundness of Model Methodology
• Technical Implementation Correctness
• Backtesting
• Performance Metrics
• Performance Attribution
• Ongoing Monitoring Plan
• Monitoring Results
• Sensitivity Analysis
• Stress Testing
• Benchmark Model Analysis
• Outcome Analysis
• Governance Structure
• Regulatory Requirements
• Input Data Quality and Controls
• Documentation Quality
• Research Topics
• 1. *Hedge Fund Trading Strategies* in Commodities Funds under CSAM (now under UBS O'Connor):
• Futures Long Only*
• Long-only strategy with markowitz optimization on multi-signal expected returns (multiple proprietory features broadly categorised into momentum, mean reversion, and fundamental demand/supply), proprietory risk and transaction cost models
• Futures L/S*
• Market neutral long-short (proprietory features on behavioral bias arbitrage, price series cointegrations, proprietory anomaly based calendar spread)
• 2. other notable models in *Asset Management*:
• Axioma*
• Equity portfolio optimization and risk metrics with faster var-cov matrix estimation using linear regression models
• MSCI RiskMetrics*
• VaR (Parametric, Historical, and Monte Carlo Simulations) with factor models
• HOLT*
• A sophisticated world-famous model for equities valuation offered by CS
• 3. *Wealth Management* (almost all core models globally):
• Product Risk Ratings*
• Market risk, Credit risk, Liquidity risks, Overall rating
• Client Risk Profiling*
• Risk Ability, Risk Tolerance
• Outcome:
• 1000+ pages of peer-reviewed research reports published, 20+ findings leading to improved models used globally for management of 10s of Billion $s.

Jan 2019 – Jun 2019 · 5 mos · Mumbai, Maharashtra

• Developed 100+ unique high returns - low-risk trading strategies.
• 50+ of these were rated Spectacular [highest possible rating by the firm decided based on the basket of visible and hidden tests assessing the uniqueness of the idea, returns, and risks].

Jul 2018 – May 2019 · 10 mos · IIT Kanpur

• Actively involved in Executive Committee Meetings. These meetings drove the strategy and execution of the Continuity of Hall Operations, and Development & Maintenance of Hall Infrastructure.
• Acted as full time Secretary- Reading Room, Hall 9.
• Part of Organizing Committee of a cricket league H9PL (Hall 9 Phatta League).

May 2018 – Jun 2018 · 1 mo · Delhi, India

• Researched ‘Feasible path to make IITs Globally-Excellent and Self-Reliant’
• Designed a '35 question survey' and strategically collected ~1200 responses from IITK, IITBHU, and IITM
• Used survey results to identify problems in IITs due to lack of funds, also busted and confirmed myths about IITians
• Analyzed performance of IITs in factors affecting QS rankings to dig out areas causing lower international rankings
• Compared financial summaries of IITs and MIT, decoded ‘Scarcity or Mismanagement?’, and ‘long-run survival path’
• Fabricated a feasible plan for excellence cum self-reliance and gave a handful of recommendations to IITs and GOI

Jan 2017 – Jun 2017 · 5 mos

• Started writing Android app that can help keeping account of peer to peer money matters. Halted the project as I thought launching it will leak this idea. And some professional Android developer will copy the app in 1-2 days and will partner with someone for the marketing budget. This product has network effects and if the competitor onboards the customers in a few days by running ads, I would lose opportunity to compete with them.
• Mistake: not being aware that professional developers write code slower than I used to write. not being aware that majority of the people do not have a natural and obvious intuition about concepts like network effects.
• Anyways, Khatabook & OkCredit made a very similar thing to what I was thinking. Though I was not aware of the opportunities that could be built on top of the userbase, I knew that the userbase can be created by this product.

Jul 2015 – Jun 2016 · 11 mos

• Started a website to find and hire informal economy workers.
• 1. Wrote code in php/javascript/HTML/CSS. Built the first version in only 10 days.
• 2. Learnt that:
• Co-founders should bring complementary skills. Just persuading a bunch of friends to join is not enough.
• Marketing as well as operational efforts are needed even for tech-based products.
• Especially, this idea would require significant operational efforts. Which would also require a workforce proportional to the number of users to be managed - that would remove the extra edge a tech business has above the normal businesses regarding scale.
• I realised, I can't run an operations heavy startup at scale while attending college. I decided that I won't drop out from college, hence, the next startup idea to try while staying in college should be 'tech-only' having negligible operational aspect.

Jul 2001 – Mar 2018 · 16 yrs 8 mos

• Assisted in decision making on operations and strategy for the school run by a non-profit chaired by my parents committed to providing affordable and quality education to rural and sub-urban students in Sikar. Made friends, while maintaining top academic performance.
• Learnt to identify user-needs by listening actively.
• Experienced the whole microeconomics book playing live in the world before even knowing these concepts had names.