---
title: "Sriram Pingali - Senior Associate Consultant in Hyderabad | Tal"
description: "Meet Sriram Pingali, Bain & Co. || IIM Bangalore 25’ (Director’s List) || Ex - BCG || CAT 22 99.92% || Ex-Product @ Yellow.ai based in Hyderabad. AI stack includes gemini, notion, and openai."
image: "https://tal.club/meet/sriram-5/share-image"
---

# Sriram Pingali on Tal

## Headline

Bain & Co\. \|\| IIM Bangalore 25’ \(Director’s List\) \|\| Ex \- BCG \|\| CAT 22 99\.92% \|\| Ex\-Product @ Yellow\.ai

## Location

Hyderabad

## AI stack

gemini

notion

openai

perplexity

## Work experience

Senior Associate Consultant at Bain & Company, Jul 2026 \- Present · 1 mo

Associate Consultant at Bain & Company, Jul 2025 \- Jun 2026 · 1 yr

Summer Associate at Boston Consulting Group \(BCG\), Apr 2024 \- May 2024 · 2 mos, Chennai, Tamil Nadu, India, • Managed centralized inventory pipeline for 5 cement plants, reducing repeat purchases by 40% and unlocking working capital of 6 Cr • Conducted financial audits, identified cash conversion cycle concerns, and flagged 20 recurring overdues • Led liquidation of factory equipment, negotiated with vendors, and analyzed utilization of spare inventory, saving 44 Cr\.

Associate Product Manager at Yellow\.ai, Jun 2022 \- May 2023 · 1 yr, Bengaluru, Karnataka, India, • Spearheaded 3\+ Gen AI features, onboarded 10\+ enterprise customers, and generated $2M\+ • Owned 2\+ enterprise client accounts, integrated automation pipelines, and reduced go\-to\-market time by 50% • Conducted A/B testing across 1000\+ users, inspected user behavior, improved click\-through rate by 40% • Revamped pricing strategy, implemented tier pricing, and increased market share by 3%

Research Intern at Sony Research India, Aug 2021 \- Mar 2022 · 8 mos, • Developed a novel Multi\-Modal Video Recommendation system for Sony Liv OTT platform\. • Compiled a unique Multi\-Modal Dataset of 1682 movies including Movie Summaries, Trailer Audios, Key Frames\. • Built Deep Siamese Networks, Graph Deep Learning algorithms to enhance user behavior understanding\. • Published paper in IJCNN 2022 showcasing 30% performance improvement over baseline models\.

Product Management Intern at Walkover, Dec 2021 \- Feb 2022 · 3 mos, Indore, Madhya Pradesh, India, • Spearheaded the Analytics Department, integrating tools like Amplitude Analytics and Google Analytics to track user metrics for 3 products\. • Developed end\-to\-end PRDs and conducted A/B testing for 5\+ new features\. • Utilized user behavior data to identify customer bounce points, resulting in a 50% improvement in click\-through rate\.

## Education

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

Master of Business Administration \- MBA, Business Administration and Management, General, University of Mannheim

[View the original profile](https://tal.club/meet/sriram-5)

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