Sreya Kavil Kamparath

Product Manager

United States5 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Boosted clinician productivity by 200% with AI solutions.
Achieved 10% MoM user growth for a travel app.
Improved asset recommendation accuracy by 16% at J.P. Morgan.

Stackforce AI infers this person is a Product Manager with expertise in AI-driven solutions across Finance and Healthcare sectors.

Contact

Skills

Core Skills

Product ManagementGo-to-market StrategyGenerative AiQuantitative AnalysisMarket Research

Other Skills

Artificial Intelligence for BusinessBig DataBusiness InsightsBusiness Intelligence (BI)Business Process MappingC (Programming Language)C++CommunicationCompetitive AnalysisComputer ScienceCorporate FinanceData AnalysisData AnalyticsData ScienceData Visualization

About

TLDR: I unlock value, build things that matter, and sprinkle in just enough humor so people don’t fall asleep during my presentations.( And I also care about the technical details of the product). Hi, I’m Sreya , part Product Manager, part AI whisperer, part chaos-into-clarity converter. Think of me as someone who translates “what if we…” into “here’s the roadmap, launch plan, and metrics we just crushed.” I’ve worn a few hats in my journey (none of them fashionable, sadly): Founding PM: Took PaperCut from “shower thought” to “actual product people pay for.” Healthcare AI tinkerer: At PointClickCare, I helped build a GenAI agent that boosted clinician productivity by 200% (basically caffeine, but legal and scalable). Wall Street AI magician: At J.P. Morgan, I trained models to recommend assets with 16% higher accuracy — not financial advice, but I’d take it. Travel dreamer: At TravExp, I led GTM for a personalized travel app — because who doesn’t want an AI that knows whether you’re a “beach napper” or “3 hikes before breakfast” person? My toolkit: A Master’s in Product Management from Carnegie Mellon (where I learned how to turn “what’s the TAM?” into polite dinner conversation) + a Master’s in Data Science from CMI (where I learned to speak fluent ML without terrifying execs).

Experience

5 yrs 1 mo

Total Experience

1 yr

Average Tenure

1 yr 2 mos

Current Experience

Zefr

Senior Technical Product Manager AI/ML

Apr 2025 – Present · 1 yr 2 mos · Los Angeles Metropolitan Area

Travexp - browse. plan. share.

Product Manager / Product Marketing Manager

Aug 2024 – May 2025 · 9 mos · United States · Remote

Data-driven Strategy: Executed a data flywheel based GTM adoption program for an AI-driven planning tool for personalized travel, achieving 10% MoM user growth & setup a feedback channel for continuous improvement.
User Research: Conducted outbound market research & user feedback analysis to identify pain points in the current planning tool. Led a user experience redesign initiative, improving NPS by 10 bps among current users.

Product MarketingProduct ManagementGo-to-Market Strategy

Pointclickcare

Product Manager - Generative AI

Aug 2024 – Dec 2024 · 4 mos · United States · Remote

Healthcare Industry : Supporting PointClickCare (PCC) in developing a strategic product roadmap and go-to-market plan for launching an GenAI-powered chatbot aimed at guiding skilled nurses, focusing on post-acute and geriatric healthcare sectors.

Product ManagementGenerative AIGo-to-Market StrategyMarket Research

Zscaler

Product Manager - Platform

May 2024 – Aug 2024 · 3 mos · San Jose, California, United States

Stakeholder management: Spearheaded the organization wide implementation of a centralized Third-Party Risk Management security process, reducing overall security risk exposure by 30% from 3k+ external B2B vendors.
Product Roadmap: Collaborated cross-functionally across teams to create a 1-year roadmap and strategic plan to scale the security program, including a detailed streamlined process document for seamless vendor integration.
Market Research: Conducted in-depth market study across 15+ vendors for novel security risks emerging from AI and Generative AI advancements in SaaS apps and proposed process improvements to mitigate security risks

J.p. morgan

AI Product Manager

Apr 2023 – Nov 2023 · 7 mos

Led all AI matching efforts, worked on NLP sentiment engine to improve stock/index recommendations. Improved sentiment score accuracies across geographies and emerging/developed markets. Implemented visualization of sentiment to show the major risk factor.
Comprehensively analyzed ETFs in Asia pacific region. Designed workflows to prepare the most sold product JPMorgan ETF Handbook 2023. Automated data gathering, analysis, and final handbook generation.

Problem SolvingBusiness InsightsUser Experience (UX)Generative AIUser ResearchProduct Vision+15

Versor investments

Product Manager

Dec 2021 – Mar 2023 · 1 yr 3 mos · Mumbai, Maharashtra, India

Merger Arbitrage - Developed forecast models for predicting spread
return, risk and duration for the universe of deals in the $2B mergers
and acquisitions arbitrage portfolio.
Automated the model building process and created a UI for the
same. Customized the UI for catering to dierent management levels
and reduced the turn around time to include new features to 1 day
from 2 weeks
Conducted research on ESG factors that identified an opportunity to
allocate risk attribution in a better way. Identified gaps in the existing
models which directly contributed to a yearly increase in revenue of
$3.1M in comparison with previous models
Portfolio optimization and back-testing - implemented probability
based portfolio construction methods. Ran back-tests for the
different variations of the models, to find the optimum portfolio
constructions

Problem SolvingBusiness InsightsUser ResearchProduct VisionQuantitative DataDocumentation+13

Dolat capital

Quant @HFT

Jul 2020 – Dec 2021 · 1 yr 5 mos · Mumbai, Maharashtra, India

Generated alpha for options trading.
Performed research and analysis to study market trends and identify
the key variables for predictive analysis of high frequency financial
data.
Worked with the execution team to fine tune the model performance
and improve the trade simulator for enhanced testing capabilities
Investigated change in market structure trends to reevaluate and
re-optimize models(Model maintenance)

Business InsightsUser ResearchQuantitative DataDocumentationStrategic ThinkingMarket Analysis+10

Ibm

IBM GRM Intern

Jan 2020 – Jul 2020 · 6 mos

Conducted extensive research on sentiment analysis using LSTM.
Augmented the long short-term memory (LSTM) network with a hierarchical attention mechanism consisting of a target level attention and a sentence-level attention.
Commonsense knowledge of sentiment-related concepts is incorporated into the end-to-end training of a deep neural network for sentiment classification.