---
title: "Abhishek M. - Associate Product Manager in India | Tal"
description: "Meet Abhishek M., Product | Pricing & Planning Products for Retail based in India. AI stack includes claude, cursor, and gemini."
image: "https://tal.club/meet/abhishek-mishra-15/share-image"
---

# Abhishek M\. on Tal

## Headline

Product \| Pricing & Planning Products for Retail

## About

👋🏽 Hi, my name is Abhishek Mishra 📚 Graduate from Ramaiah Institute of Technology with a Bachelors of Engineering in Information Science\. 💻 Associate Product Manager \(Data & Analytics\) with 5\+ years of experience building and scaling AI\-powered pricing, promotion, forecasting, and planning solutions for enterprise retail clients\. Previously a Data Science Lead, now focused on shipping data products end\-to\-end—problem framing, requirements/user stories, execution, and adoption\. 💪🏼Strengths: Translating ambiguous business needs into clear requirements and acceptance criteria; defining success metrics/OKRs and product analytics; partnering with DS/engineering to balance impact, feasibility, and timelines; communicating complex analytics through simple narratives and visuals that drive stakeholder alignment and adoption\. 👔 Professional interests: Data Products, Analytics Platform UX, Decision Intelligence, AI/ML‑enabled products\. 🎮 Outside work: Reading, Spotify, Netflix, Blockchain/Crypto, FC Barcelona, and the occasional Jiu‑Jitsu session\. 📱 Drop a message to connect 👋\.

## Location

India

## AI stack

claude

cursor

gemini

notebooklm

Gamma

## Work experience

Associate Product Manager at Impact Analytics, Aug 2025 \- Present · 1 yr 2 mos, Bengaluru, Karnataka, India, • Transitioned internally to own execution for data/analytics modules—turning ambiguous asks into clear user stories, success metrics, and driving adoption with business stakeholders\. • Leading end‑to‑end delivery of a price optimization change request \(initiated during my DSL tenure\), aligning scope, iterating on scenarios, and selecting a recommendation that improved units, revenue, and gross margin over baseline\. • Designing a KPI configurator so business users can define how KPIs are calculated and interact, reducing dependency on developers and speeding analytics changes\. • Created simulators for an inventory receipt recommendation system, enabling stakeholders to inspect and trust recommendation behavior before rollout, to accelerate user adoption\. • Partnered with a 5‑person team on a Planning solution for a large European discount retailer—clarifying use cases, defining KPIs and acceptance criteria, sequencing launches, shaping the analytics roadmap, and preparing enablement materials to support go‑live\.

Data Science Lead at Impact Analytics, Jul 2023 \- Dec 2025 · 2 yrs 6 mos, Bengaluru, Karnataka, India, • Earned early promotion within 18 months; expanded scope from model development to defining requirements, success metrics, and rollout plans for pricing and planning analytics\. • Acted as de‑facto product owner for a self‑serve pricing configuration module—authored detailed user stories and acceptance criteria so business users could change pricing rules without developer support\. • Drove 4% revenue uplift for a luxury retailer by operationalizing promotion effectiveness, price sensitivity, and brand consciousness analyses as product metrics for decision‑making\. • Built a tariff simulation tool to help a multi geography footwear retailer to evaluate cost pressures and margin protection strategies; supported stakeholder walkthroughs, change management, and adoption tracking\.

Senior Data Scientist at Impact Analytics, Jan 2022 \- Jul 2023 · 1 yr 7 mos, Bengaluru, Karnataka, India, • Promoted early out of a 20‑person cohort; took ownership for scoping analytics workstreams and translating business needs into data requirements and milestones\. • Co‑built a pricing strategy product for a multi‑brand children’s apparel retailer—worked with stakeholders to prioritize early releases that balanced feasibility and impact\. • Experimented with clustering algorithms such as K\-means and DBSCAN to decrease 6M data points to 200K to reduce the complexity and volume of data processed\. • Automated ingestion on Python \+ GCP to remove 1–2 hours of manual work daily and improve reliability for downstream business users; documented reliability KPIs and runbooks\.

Data Science Intern at Impact Analytics, Jan 2020 \- Mar 2020 · 3 mos, Bangalore, • Created image datasets comprising over 15,000 images that were used to train & build AI models for a product that provided retailers with a smart shelf monitoring solution\. • Designed tableau dashboards to simplify working with customer inventory data for various use cases\. • Received extensive training on Python, SQL, R, Tableau and Excel\.

## Education

Bachelor of Engineering \- BE, Information Science, Ramaiah Institute Of Technology

ISC, Science, Bishop Cotton Boys'​ School

[View the original profile](https://tal.club/meet/abhishek-mishra-15)

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