Headline

Product Manager | Data & AI Products | Product Strategy & Analytics | IIT Patna • NIT Delhi | GrowthX

About

I build data and AI products that solve real business problems and deliver measurable outcomes. With 5+ years of experience at Nagarro, Ive worked across Retail, Pharma, and Logistics, taking business problems from discovery and problem definition through product requirements, solution design, and cross-functional delivery. Here are a few outcomes from my work: 🤖 99% Product Adoption: Rescued a Pharma reporting tool serving 1,500+ Medical Representatives that was at risk of decommissioning. Identified workflow friction, redesigned the reporting journey around zero-click metadata extraction using GenAI (LLMs & RAG), and drove 99% adoption within two months. Improved metadata extraction accuracy to 95%. 🚚 0→1 AI amp; Data Product Development: Defined product vision, MVP scope, roadmap, and success metrics for an enterprise logistics intelligence platform. Worked with a cross-functional team of six to develop capabilities spanning shipment risk monitoring, SLA-breach prediction, and AI-based root cause analysis. The ML model achieved 75% precision at the operational alert threshold, with an average early-warning lead time of 12 hours. 💰 AED 125M in Savings: Helped reduce perishable goods wastage by 40% across 90+ retail stores through demand forecasting and inventory planning for a major UAE retailer. 📈 Growth amp; Optimization: Contributed to a 15% increase in sales conversion and a 35% reduction in inventory waste through consumer behavior analysis, price sensitivity modeling, and assortment optimization. ⚙️ Operational Reliability: Improved data pipeline reliability by 60% and reduced incident response times by 40% through better monitoring, troubleshooting, and ETL recovery workflows. My approach to product management combines user discovery, jobs-to-be-done analysis, product strategy, roadmap prioritization, PRDs, user stories, product metrics, experimentation, and cross-functional execution. I enjoy working closely with engineering and business teams to turn ambiguous problems into practical, scalable solutions. My technical foundation spans SQL, Python, AWS, Databricks, machine learning, and GenAI, allowing me to engage deeply with architecture, data quality, model evaluation, and AI product trade-offs. Im currently pursuing an MBA in Finance amp; Analytics at IIT Patna, building on my B.Tech from NIT Delhi. 📍 Areas of Interest: Product Management | AI & GenAI Products | Data Products & Platforms | Product Strategy & Analytics | Databricks

Location

South Delhi

AI stack

claude code

hugging face

langchain

notion

openai

Amazon Q Developer

Work experience

Product Manager at Nagarro, Jul 2021 - Present · 5 yrs 4 mos, Hybrid, Partnered with global Retail and Pharma clients to design analytics and data products that drive pricing, forecasting, and operational decisions at scale. 𝗣𝗛𝗔𝗥𝗠𝗔 – Reporting Reliability & Product Adoption • Product Adoption & UX: Identified critical workflow friction in a field reporting tool that limited adoption; redesigned the ingestion process to automate metadata extraction using a Gen AI framework (LLMs & RAG), increasing user adoption to 99% within two months. • Stakeholder Trust: Restored confidence in field reporting data by improving submission completeness and consistency through workflow redesign. • Systems Engineering: Improved pipeline reliability by 60% and reduced incident response time by 40% by strengthening monitoring and ETL recovery workflows using AWS (Redshift, Glue, Lambda) and PySpark. 𝗥𝗘𝗧𝗔𝗜𝗟 – Category Performance Performance, Pricing & Forecasting • Cost Optimization: Saved AED 125M by optimizing fresh food demand forecasting across 90+ retail stores using time-series and regression models. • Revenue & Growth: Increased sales conversion by 15% and reduced inventory waste by 35% by translating complex consumer behavior modeling into actionable pricing and assortment strategies. • Inventory Intelligence: Improved replenishment planning and reduced stock-out incidents in high-demand categories through ML-based demand forecasting. • Dashboarding: Built category-level dashboards tracking sales, loyalty, churn, customer segmentation, and performance KPIs using Python, R, and SQL to support pricing and assortment decisions. 𝗦𝗧𝗥𝗔𝗧𝗘𝗚𝗬 & 𝗟𝗘𝗔𝗗𝗘𝗥𝗦𝗛𝗜𝗣 • Cross-Functional Partnership: Collaborated with product, business, and engineering stakeholders to translate analytical insights into executable operational initiatives. • Technical Mentorship: Mentored junior engineers on SQL, data modeling, and ETL debugging to improve delivery quality and team velocity within Agile development cycles.

Machine Learning Engineer Intern at Triquetra Healthcare and Technology, Jul 2020 - Dec 2020 · 6 mos

Research Project Intern at Bennett University, May 2020 - Jun 2020 · 2 mos

Project Intern at Airports Authority of India, May 2019 - Jul 2019 · 3 mos, New Delhi, Delhi, India

Education

Master of Business Administration - MBA, Finance and Analytics, Indian Institute of Technology, Patna

Bachelor of Technology - BTech, Electrical and Electronics Engineering, National institute of technology delhi

Public links

paradoxbaba.github.io: https://paradoxbaba.github.io/portfolio/