Hello, I'm
Preeti Agrawal
Product Leader | AI & Analytics | Growth Systems
10+ years of experience across e-commerce, D2C, SaaS, and fintech, building data-driven and AI-enabled products that deliver measurable business impact.
What I Do
AI-Enabled Products
Building intelligent systems using GenAI, ML, NLP, and Computer Vision to automate and enhance user experiences.
Analytics & Growth
Designing data-driven growth systems, analytics platforms, and experimentation frameworks that drive measurable outcomes.
Automation Systems
Creating intelligent automation solutions that reduce operational costs, improve efficiency, and scale operations.
My Journey
Founder
Trumee (AI-enabled D2C Fashion)
Founded an AI-enabled D2C women's fashion brand to validate AI-driven demand and inventory solutions after AlphaSense layoffs.
Product Manager
AlphaSense (SaaS/FinTech)
Led Client Analytics Platform development with $13.14M projected ARR impact. Built E2E analytics infrastructure serving 20+ teams.
Product Manager
Amazon Development Center
Automated catalog duplication detection using NLP/CV. Drove $29M+ in combined business value through multiple ML initiatives.
Product Manager - Analytics & Growth (AVP)
RBL Bank (FinTech)
Led growth initiatives including leads management, WhatsApp channel integration, and RFM segmentation. Saved $100K via A/B testing.
PGP Student
Indian School of Business
Post Graduate Programme in Information Technology & Marketing. Transitioned from QA Engineering to Product Management.
QA Engineer (QAE1)
Amazon Development Center
Built automation frameworks for FBA supply chain. Delivered tools generating ~$34M in cost savings.
QA Engineer
Commonfloor (Real Estate Tech)
Led UI and service-level automation. Partnered on Quikr's New Cars integration and owned regression testing.
Programmer Analyst
Cognizant
Led QA for telecom projects at Cox Communications. Started career in enterprise software development.
Featured Projects
TrendRadar - Demand Sensing Platform
Trumee | 2024
Fashion inventory is notoriously difficult to predict, leading to deadstock and missed opportunities. Needed a data-driven approach to reduce waste and optimize purchasing.
AI-powered demand sensing tool that analyzes fashion trends from social media, sales data, and market signals to predict inventory needs 2-4 weeks ahead.
D2C fashion brands, inventory managers, and merchandising teams looking to optimize stock levels and reduce capital locked in unsold inventory.
Built using Python, ML models for time-series forecasting, social media trend APIs, and integrated with Shopify for real-time inventory updates.
Client Analytics Platform
AlphaSense | 2023-2024
Enterprise clients needed deeper insights into their usage patterns and ROI. The sales and CS teams were making decisions without proper data, leading to churn and missed upsell opportunities.
Comprehensive analytics platform providing client health scores, usage analytics, engagement metrics, and predictive churn indicators for enterprise SaaS customers.
20+ internal teams including Sales, Customer Success, Product, and Executive leadership. Also powered external-facing client dashboards.
Built E2E data pipeline using BigQuery, implemented Google Dialogflow BI chatbot for self-service analytics, and created Tableau dashboards with real-time metrics.
Catalog Duplication Detection (NLP/CV)
Amazon | 2022-2023
Duplicate product listings created poor customer experience, diluted search results, and led to inventory inaccuracies. Manual detection was slow and error-prone with 5% error rate.
Automated ML system using NLP for text matching and Computer Vision for image similarity to detect and merge duplicate product listings at scale.
Amazon Catalog team, sellers managing large inventories, and ultimately millions of customers who benefit from cleaner search results and accurate product information.
Implemented NLP models for title/description similarity, CV models for product image matching, and created a confidence scoring system for automated vs. manual review routing.
SKU Recycling System
Amazon | 2022-2023
Discontinued SKUs with valuable search rankings and customer reviews were being lost. New listings had to build credibility from scratch, wasting existing customer trust.
Intelligent system to identify high-value discontinued SKUs and recycle them for similar new products, preserving SEO value, reviews, and customer trust.
Sellers launching new products, Amazon category managers, and customers who benefit from accurate product history and trusted reviews.
Built SKU value scoring algorithm, product similarity matching, and automated workflow for SKU reassignment with proper audit trails.
Leads Management & Conversion System
RBL Bank | 2020-2022
Banking leads were being lost due to poor tracking, inconsistent follow-ups, and lack of channel optimization. Sales teams needed better tools to convert prospects.
Comprehensive leads management system with scoring, automated routing, multi-channel tracking (including WhatsApp), and conversion analytics.
RBL Bank sales teams, relationship managers, and marketing teams responsible for customer acquisition and retention.
Built lead scoring model, integrated WhatsApp Business API (3.5% adoption increase), implemented RFM segmentation for debit cards, and created A/B testing framework.
AI Projects
End-to-end AI product ownership — from problem framing to system design, evaluation, and iteration in production-like environments.
AI Learning Assistant for K-12 Education
EdTech | GenAI | Multimodal AI
Personalized explanations, voice delivery, and curriculum-aligned learning using GenAI
Traditional EdTech platforms struggle with one-size-fits-all explanations, language barriers, high cost of video-based content, and poor engagement for conceptual subjects.
AI-powered learning assistant that generates adaptive explanations using LLMs, grounds responses in curriculum content via RAG, and converts to natural-sounding multilingual speech.
Structured curriculum content stored as modular chunks for retrieval
Layered prompts (system, concept, learner context) + RAG for factual grounding
TTS pipeline for scalable multilingual audio delivery
Chose RAG + prompting over fine-tuning initially to maximize iteration speed and control costs while maintaining factual accuracy.
SORTED — AI-First Learning Companion
EdTech | Agent Systems | Personalization
Helping learners build AI skills through guided journeys and hands-on practice
AI learning is fragmented: tools-first instead of concept-first, no structured progression, and low retention after tutorials.
AI-native learning app that breaks AI into progressive paths, uses agents to simulate mentors/reviewers/explainers, and adapts difficulty dynamically.
Designing learning systems, not just AI features. Focus on progressive task scaffolding and concept retention across sessions.
TrendRadar — Holistic Fashion Trend Intelligence
Retail | AI | Demand Sensing
Identifying high-conviction fashion trends before they hit mass adoption
Fashion decisions are reactive: brands chase trends too late, search data alone is noisy, and inventory risk is high.
Holistic Trend Intelligence System that correlates signals across the full trend lifecycle — only trends validated across multiple layers are promoted.
Visual pattern detection from Instagram & Pinterest
Keyword velocity from Myntra + Google Trends
Sell-out tracking in New Arrivals within 48hrs
Bollywood & OTT releases as demand amplifiers
Each product/image is decomposed into structured attributes creating a standardized Trend DNA for comparison:
Avoided single-signal trend detection; prioritized correlated confidence over raw volume for higher conviction predictions.
Multi-Agent Stock Market Analysis
FinTech | CrewAI | Agent Systems
Collaborative AI agents for market research and signal synthesis
Single-model analysis often lacks diverse viewpoints, structured reasoning, and cross-validation needed for reliable market insights.
CrewAI-based multi-agent system where agents analyze fundamentals, track technical indicators, summarize news, and debate signals before final output.
Used agents to simulate analyst diversity, not to chase prediction accuracy. Role isolation prevents overfitting.
BI Agent using LangGraph
Analytics | LangGraph | Agent Workflows
Automating analytics queries and insights via agent workflows
Analytics teams spend disproportionate time on repetitive questions that could be automated with proper guardrails.
LangGraph-based BI agent capable of interpreting natural language queries, routing tasks to SQL/metrics/explanation agents, and returning structured insights.
Chose agent orchestration over monolithic prompts to improve reliability and enable better debugging/iteration.
Skills & Expertise
Product & Strategy
AI & Technology
Technical Skills
Tools & Platforms
Domain Expertise
E-commerce
Amazon, D2C
FinTech
Banking, Payments
SaaS
Enterprise Analytics
D2C Fashion
Trumee
Education & Certifications
Education
Indian School of Business
2019 - 2020
PGP in IT & Marketing
Post Graduate Programme focusing on Information Technology and Marketing management.
IIIT Bangalore
2020 - 2021
PG Diploma - Data Science & ML
Advanced program in Data Science and Machine Learning with hands-on projects.
VIT University
2008 - 2012
Bachelor of Technology
Undergraduate engineering degree from Vellore Institute of Technology.
Certifications
AI Generalist Bootcamp
Outskill | July 2025 - Aug 2025
Comprehensive training on AI technologies, GenAI applications, and practical implementation.
AI & Machine Learning Program
Scaler | July 2024 - July 2025
Advanced program covering ML algorithms, deep learning, and production ML systems.
Product Management Certification
Duke Corporation + UpGrad | Dec 2019 - June 2020
Comprehensive product management training covering strategy, execution, and leadership.
AI Product Consulting
HLSR Technologies | July 2025
EdTech AI project integrating TTS technology and multilingual synthesis for educational content.
Let's Connect
I'm always interested in discussing new opportunities, collaborations, or just connecting with fellow product enthusiasts.
Open to Opportunities
Looking for Product Leadership roles in AI-first companies, SaaS, or FinTech where I can drive growth through data-driven products and intelligent automation.