---
title: "Sahil Singhal - Senior Marketplace Manager in Karnataka | Tal"
description: "Meet Sahil Singhal, Uber, IIM B, IIT R, ex-L.E.K., ex-Flipkart based in Karnataka. AI stack includes claude code, claude, and hugging face."
image: "https://tal.club/meet/sahil-singhal/share-image"
---

# Sahil Singhal on Tal

## Headline

Uber, IIM B, IIT R, ex\-L\.E\.K\., ex\-Flipkart

## Location

Karnataka

## AI stack

claude code

claude

hugging face

langgraph

lovable

## Work experience

Senior Marketplace Manager at Uber, Feb 2025 \- Present · 1 yr 8 mos, Bengaluru, Karnataka, India, \* Grew market share across \~x% P&L portfolio via granular geo/time/distance level pricing and incentive experiments, optimizing supply\-demand balance to improve match efficiency and trips \* Deployed scalable AI agents to accelerate pricing and category planning decisions; validated outputs via multi\-axis evals \* Diagnosed driver pain points via VOCs; owned strategy & execution for improving CSAT and conversions \* Improved spend efficiency and unit economics via a marginal ROI\-based capital allocation framework

Strategy and Planning, India & South Asia at Uber, Jun 2022 \- Feb 2025 · 2 yrs 9 mos, Bangalore, • Maximized spend efficiency and unit economics via a marginal ROI\-based capital allocation framework • Led 0\-to\-1 product strategy for ONDC open network integration; aligned VP\-level stakeholders on MVP scope, partnered with engineering to design interoperable API layer driving low\-CAC rider acquisition • Designed ROI based operating construct for different supply segments to achieve higher LTV/CAC and profitability • Identified cost\-optimization opportunity basis P&L benchmarking against competition and internal ops efficiency • Diagnosed city\-level performance gaps basis weekly RCA of rider/driver metrics, automated the city wise business tracker • Partnered with CXOs to design governance frameworks, drive annual planning, assess investment/growth opportunities

Consultant at L\.E\.K\. Consulting, Nov 2020 \- Jun 2022 · 1 yr 8 mos, • Built demand model for greenfield launch, segmented customers by WTP basis 300\+ surveys, prioritized product features via conjoint tradeoff analysis, optimized pricing/capacity mix to maximize IRR • Designed thesis for PE investment in a PM edtech \(2M\+ users\); analyzed retention, monetization, moat • Project diversity \- Public policy, GTM strategy, market opportunity assessment, cost optimization, commercial due diligence • Clientele \- Global PE firms, private global groups and operators, public sector • Role \- Lead a team of 5\+ associates/associate consultants on every engagement, storylining, project and work planning, external client management • Sector focus \- EdTech, K\-12, PreK, Health Tech • Geographies \- USA, SEA \(Cambodia, Laos, Singapore\), Europe, Middle East

Deeptech SaaS Venture Capital Intern Associate at IvyCap Ventures Advisors Private Limited, Jun 2020 \- Nov 2020 · 6 mos, • Evaluated deep\-tech SaaS investments \(Bio\-AI, DevOps\); assessed product moat, TAM and unit economics • Investment valuation of startups in sectors \- healthtech, SaaS, utilities, waste management, cloud computing • Work involves direct interaction with startup founders & investment bankers, end to end analysis of product, market, competition, GTM, financials, growth potential, valuation and exit opportunity • Portfolio management \- post\-Covid assessment and financial projections of startups in diverse sectors such as consumer, healthtech

Summer Consultant at L\.E\.K\. Consulting, Apr 2019 \- May 2019 · 2 mos, Singapore, Mumbai, • Sole PPO Awardee from IIMB \- 1 out of 3 interns to be offered PPO • Evaluated potential investment targets/assets in education and fitness sectors for leading global PE clients

Data Science & Product Analytics at Flipkart Internet Pvt\. Ltd\., Jun 2015 \- May 2018 · 3 yrs, Bengaluru Area, India, • Designed an unsupervised customer segmentation model in Python \(K\-Means, 50M\+ transactions, 8 features\), validated cluster interpretability via FGDs and A/B testing, improved order conversion by \~5% • Built end\-to\-end ML pipeline in Python \(data ingestion, feature engineering, clustering\), deployed outputs to database enabling customer persona signals for 5\+ downstream systems \(Recommendation engine, CRM\) • Orchestrated backend telemetry architecture \(custom event schema \+ Adobe Analytics\) enabling experiment\-ready clickstream data for A/B testing and product funnel diagnostics across key user journeys • Built high concurrency data processing system for peak sale reducing reporting TAT by \~30% in 5x load • Employee of the Quarter conferred twice by Senior Director; Rated 5/5, Top 2% of \~80\+ cohort • Saved INR 3Cr through 95% fraud reduction in user journey, linked product order history to exchange policy • Led 20\+ focus group discussions, benchmarked user behavior for loyalty construct against competition

## Education

Master of Business Administration \- MBA, Indian Institute of Management Bangalore

Bachelor of Technology \(B\.Tech\.\), Civil Engineering, Indian Institute of Technology, Roorkee

[View the original profile](https://tal.club/meet/sahil-singhal)

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