Bloomberg Market Concepts

Deep Learning Specialisation

Bachelor of Technology - BTech

Product and Growth Strategy – Pricing, Return Analytics, OMS Team (Jun 23 – Aug 24)
• Deployed a reference-price-theory based solution for Markdown Optimization reducing effective discount from 50% to 40%, while preserving revenue growth 
• Implemented a Markowitz Theory inspired unit pricing algorithm to maximize profit margin given a defined budget, through Monte Carlo simulations
• Prototyped a novel Returns Diagnostics Module to flag erroneous styles and highlight area of issue, with an on-field detection-diagnostic accuracy of >90%
• Led development of Returns Actionables Module, B2B Sales Order flow and EKart-Fareye Integration as the primary product owner of the OMS team. 



Retail Operations –Omnichannel Fulfillment, Tech Adoption (Aug 24 - Present)
• Oversaw onboarding, enablement, packaging availability, and SLA breach compliance as end-to-end owner of omnichannel fulfillment across 100+ stores
• Automated a reporting framework using Python for the timely detection of

Growth & Product

(Department of Justice Reform| DIME Analytics) 
• Responsible for data cleaning, wrangling and building data infrastructure of judicial and political-administrative datasets for statistical inference and causal study. 
• Responsible for forming and supporting quasi-experimental study design for various projects and preparing pre-analysis plans for Randomized Controlled Testing.

Short Term Consultant

- Responsible for conducting Knowledge Sessions on Business Strategy, Stock Markets, and Derivative Markets for first-year associate club members.
- Raised prize money of INR 80K as part of Sponsorship Team for Indian Case Challenge 2021 that was sponsored by Jindal Stainless Limited.

Sub-Head

-  Garnered a total of 1200 team registrations and more than 3500 total participants as part of the National and International Publicity Team for ICC 2021.
-  Prepared the problem statement for ICC 2021 as part of the Case Team including the Pre-Case and Final Case based on the Indian Stainless Industry.
- Co-authored modules on Fixed Income Securities and prepared social media content and infographics on topics like Margin Trading and Non Fungible Tokens

Head Finance

- Conducted literature review, developed hypotheses, and consolidated daily trade flow data from NSDL, to prepare a cash-flow time series using Pandas
- Implemented Daily Holdings and Intraday Appreciation Variables to prepare flow time series, compared against simulated benchmark NIFTY 500 Portfolios
- Modeled Bear and Bull Regimes by implementing 2-State Markov Variance Switching Autoregression, verified stationarity using Augmented Dickey-Fuller Unit Root test
- Deployed Passive Buy-and-Hold Benchmark Simulators in order to compare performance spread of FIIs using Modified Internal Rate of Return (MIRR)

Research Intern

Pricing for Noon Minutes (Quick Commerce)

Product Manager

Hiding competence behind my incompetence and hiding incompetence behind my competen-

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