---
title: "Sarthak Agarwal - Analyst - Data Science in Bangalore Urban | Tal"
description: "Meet Sarthak Agarwal, Analyst - Data Science at American Express || Computer Science Engineering, BITS Pilani based in Bangalore Urban. AI stack includes opencode and claudecode."
image: "https://tal.club/meet/sarthak-agarwal-1/share-image"
---

# Sarthak Agarwal on Tal

## Headline

Analyst \- Data Science at American Express \|\| Computer Science Engineering, BITS Pilani

## Location

Bangalore Urban

## AI stack

opencode

claudecode

## Work experience

Analyst \- Data Science at American Express, Jan 2025 \- Present · 1 yr 8 mos, Bengaluru, Karnataka, India

Program Associate at Wells Fargo, Aug 2024 \- Jan 2025 · 6 mos, Hyderabad, Telangana, India

Quantitative Research Intern at Greenland Investment Management, Jan 2024 \- Jun 2024 · 6 mos, Mumbai, Maharashtra, India, \-Created Calendar Spreads: Developed calendar spreads for liquid SHFE, NYMEX, and ICE commodities, improved data verification by updating holiday times from exchange websites for clean reporting and reduced the processing time by 40% by optimizing SQL hits from O\(n\) to O\(1\) \-Experimented with Alpha Strategies: Set up Jupyter notebooks, implemented, and tuned two alpha strategies \(n1Highn2Low, bbCrossover\) on COMEX GC 2023, integrating technical indicators and exit strategies\. \-Enhanced Data Verification: Verified bid, ask, and mid OHLC prices, and generated percentile\-based statistics to ensure data accuracy and handle outliers\. \-Organized Historical Data: Unzipped and processed 1\.5 million data files across 14 years spanning 7500 Chinese contracts, converting them into contract\-wise BCPs for insertion into TickDB \-Set Up ETF Data Flow: Established data flow for 40 ETF contracts, created insertion logic, generated minute\-wise ticks, and developed session and product\-wise percentiles, streamlining ETF data processing\.

Summer Analyst at Wells Fargo, May 2023 \- Jul 2023 · 3 mos, Bengaluru, Karnataka, India, \-Analysed 170,000\+ FX transactions to derive statistical insights on seasonality, volatility, association, outlier, and customer\-profile analysis for pricing dashboards\- \-Utilized XG Boost to develop an ML algorithm that precisely predicts Foreign Exchange transaction spreads within a narrow range of 0\.25%

Senior Member and Project Director at ShARE BITS Pilani, Jul 2022 \- Sep 2023 · 1 yr 3 mos, \-Led a 7\-member team in a green fuel firm's operations strategy, streamlining org structure across 10 departments, reducing expenses by over 35% \-Spearheaded junior member recruitment, achieving a 130% Y\-o\-Y increase in applications received, and a 0% dropout rate of recruits \-Achieved a first\-time 100% submission rate in internal modules \(M1\) and generated first\-ever INR 1\.5 lakh in revenue from startup projects

Junior Member at ShARE BITS Pilani, Oct 2021 \- Nov 2022 · 1 yr 2 mos, France, \-Worked on a Rewards system ideation and pitching for ECOVIA \-Identified 16 critical issues in user engagement, unit economics, and partnerships for reusable packaging startup \-Proposed a 12\-point strategy with 7 ideas to boost user engagement and 5 methods for up to 60% cost reduction

## Education

Bachelor of Engineering \- BE, Computer Science, Birla Institute of Technology and Science, Pilani

ShARE's Leadership Programme of Excellence, ShARE \- Growing a new generation of leaders

[View the original profile](https://tal.club/meet/sarthak-agarwal-1)

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