Sahil Singhal profile photo 1 on Tal

Sahil Singhal

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

Karnataka

9+ years of work experience

Uber
Feb 20251 yr 8 mosPresent

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
Uber
Jun 20222 yrs 9 mosFeb 2025

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
L.E.K. Consulting
Nov 20201 yr 8 mosJun 2022

• 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
IvyCap Ventures Advisors Private Limited
Jun 20206 mosNov 2020

• 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
L.E.K. Consulting
Apr 20192 mosMay 2019

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
Flipkart Internet Pvt. Ltd.
Jun 20153 yrsMay 2018

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

Sahil’s AI Stack

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Education

Indian Institute of Management Bangalore

Master of Business Administration - MBA

Indian Institute of Management Bangalore

20182 yrs2020
Indian Institute of Technology, Roorkee

Bachelor of Technology (B.Tech.), Civil Engineering

Indian Institute of Technology, Roorkee

20114 yrs2015

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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