Romita Agarwal

AI Researcher

San Francisco, California, United States15 yrs experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 10+ years of experience in data-driven decision-making.
  • Expert in A/B testing and product analytics.
  • Focused on leadership and team mentorship.
Stackforce AI infers this person is a Data Science expert with a strong focus on product analytics and experimentation in SaaS environments.

Contact

Skills

Core Skills

A/b TestingProduct Analytics

Other Skills

claudeGitHub CopilotCross-functional CollaborationsSAS E-MinerMicrosoft ExcelASP.NETRequirements AnalysisData WarehousingBusiness IntelligenceBusiness AnalysisConsultingSoftware DevelopmentProject ManagementProgrammingAnalytics

About

I’m a data scientist specializing in product experimentation and AI-augmented analytics using modern LLM tools like Claude and GitHub Copilot. I have 10+ years of experience driving experimentation strategy, product insights, and data-driven decision-making at companies like Roku, Meta, and Wish. My expertise lies in building end-to-end analytics systems—from designing rigorous A/B tests to developing scalable dashboards and internal tools that power product growth. I’ve led end-to-end analytics for cross-functional teams—designing A/B tests, developing self-serve dashboards, and mentoring data scientists to uplevel experimentation quality and velocity. I enjoy asking the right questions, uncovering insights, and partnering with PMs, engineers, and designers to shape impactful roadmaps Currently, I’m focused on expanding my leadership scope and stepping into a Data Science Manager or Lead role—where I can combine technical expertise, mentorship, and strategy to build high-performing teams and amplify business outcomes.

Experience

15 yrs
Total Experience
1 yr 10 mos
Average Tenure
3 yrs 7 mos
Current Experience

Roku inc.

Senior Data Scientist

Nov 2022Present · 3 yrs 7 mos · San Jose, California, United States

  • 📊 Leading Product Experimentation & Analytics Strategy | Mentorship | Internal AI Tooling
  • I utilize Claude (Anthropic), Github copilot for exploratory analysis, hypothesis generation, and documentation
  • Lead analytics for the Destinations product team, driving roadmap influence through data storytelling and experimentation
  • Regularly monitoring product’s health; sharing signals and hypotheses, triaging to the right time
  • to ensure sustained product performance
  • Designed A/B tests to optimize merchandising strategy and improve TRC metrics
  • Collaborate with cross-functional teams to surface product opportunities and improve feature adoption
claudeGitHub CopilotA/B TestingProduct AnalyticsCross-functional Collaborations

Meta

Data Scientist

Jan 2022Nov 2022 · 10 mos · Menlo Park, California, United States

  • 📈 Data-Driven Product Strategy | Experiment Design | Cross-Functional Collaboration
  • Acted as strategic analytics partner on the Collaborative Ads team, identifying levers to improve onboarding, activation, and retention of advertisers and retailers
  • Understand the full journey of retailers and advertisers from onboarding to activation and retention. Identify paint points, recommend solutions, size the opportunity and help the team prioritize areas with highest impact
  • Designed product health metrics and dashboards to enable rapid iteration and early signal detection, reducing churn and guiding roadmap updates
  • Proposed experiment design strategies for new product features, incorporating lift measurement and impact sizing to inform decision-making
A/B TestingProduct AnalyticsCross-functional Collaborations

Wish

Data Scientist

Mar 2019Jan 2022 · 2 yrs 10 mos · San Francisco Bay Area

  • 📦 Experimentation Strategy | Payments Analytics | Mentorship & Team Enablement
  • Led analytics initiatives for Payments and User Content teams, partnering with cross-functional stakeholders to optimize product KPIs through experimentation and deep-dive analysis.
  • Conducted cohort and regression analysis to evaluate Buy Now Pay Later (BNPL) program across user segments, driving tailored product recommendations.
  • Designed, executed, and analyzed A/B tests to validate hypotheses, improve conversion, and shape roadmap priorities.
  • Built dashboards and automated reporting pipelines to monitor product health and detect anomalies in real time.
  • Introduced Git-based analysis templates and established onboarding practices to improve team velocity and reproducibility.
  • Mentored new hires on experimentation best practices, analytics tooling, and stakeholder communication.
A/B TestingProduct AnalyticsCross-functional Collaborations

Clearlink

Data Scientist

Mar 2018Mar 2019 · 1 yr · Salt Lake City, Utah

  • 🎧 Customer Journey Optimization | A/B Testing | ML-Driven Marketing
  • Analyzed key customer journey stages to improve transitions between digital lead generation and phone-based service experience.
  • Designed and executed A/B tests to enhance the IVR system, resulting in an 18% lift in call conversion rate.
  • Applied machine learning models (clustering, random forest) to model sales data and guide targeted marketing campaigns.
  • Created interactive d3.js visualizations to map customer paths and identify pain points, enabling journey optimization.
  • Optimized the Interactive Voice Response system by generating insights from the data, with the aim to provide best service for the customers
Product AnalyticsCross-functional Collaborations

City of dallas

Data Analyst

Jun 2017Mar 2018 · 9 mos · Dallas, Texas

  • Designed a common, integrated and secure Big Data platform consolidating information from 30 plus departments of the City of Dallas enabling faster and seamless data access
  • Enabled data-driven decisions, identified metrics and created forecasts to develop recommendations for strategic delivery of city services. Communicated findings and recommendations to leaders
  • Promoted city wide business intelligence by enabling reporting and dash-boarding using IBM Cognos, Watson and Tableau saving manual reporting and promoting transparency and value creation
  • Identified, reported and measured KPIs and SLAs for 911 and 311 calls to optimize cost and resource without affecting services
  • Conducted quantitative and qualitative analyses on service requests’ data to forecast future volume of requests, recognize how request patterns are related to economic and demographic makeups and make public services more responsive
  • Identified food establishments that are at most risk for critical violations to help city prioritize inspections using machine learning techniques, SPSS, and Jupyter notebook
  • Using Python did twitter sentiment analysis to find correlation between social media comments and restaurants’ scores
Product AnalyticsCross-functional Collaborations

University of texas at dallas

Graduate Teaching Assistant

Aug 2016Jan 2017 · 5 mos · Richardson, Texas

  • Teaching assistant at Naveen Jindal School of Management for the class Business Intelligence using SAS. Following were a few of my responsibilities
  • Assisted professor with course material, evaluating assignments and exams for the course
  • Proctored and graded exams along with the professor
  • Mentored students to maintain class performance and provided assistance on topics such as Market-Basket Analysis, Machine Learning algorithms and data cleaning

Deloitte u.s. india offices

Senior Analyst

Jan 2013Jan 2015 · 2 yrs · Greater Hyderabad Area

  • Implemented SAP HANA, as the database, for an auditing portal to detect fraudulent entries in the financial system. This reduced the application’s load time from 3 minutes to 3 seconds. Conferred with “SPOT Award” for my efficiency and quick-learning.
  • Tracked website traffic using Google Analytics resulting in users’ insights which enhanced website’s performance by 80%.
  • Collaborated with clients to understand requirements, prioritize objectives and accordingly set goals for the team.
  • Supervised a team of 10 for the technology enhancement project, following agile methodology. Conducted daily scrum meetings and guided collaboration between teams.
  • Recommended and facilitated migration to a more stable and reliable environment reducing overall load time by 3 minutes.
  • Redesigned the architecture and optimized the performance of registration website, using SQL, for company nationwide community day. The website could consequently handle 20000 concurrent users.
  • Built reports on registration statistics, utilizing Excel, demonstrating 80% performance gain from the previous year.
  • Worked with the hiring team to hire top talent in senior analyst roles with SharePoint expertise.

Infosys

Senior Systems Engineer

Jun 2009Jan 2013 · 3 yrs 7 mos · Pune/Pimpri-Chinchwad Area

  • Worked as a lead Developer with experience in front-end, SharePoint, data analysis, and designing visual dashboards
  • Developed application to parse XML and JSON data using JavaScript and jQuery and used CSS to design the UI
  • Worked with leadership and clients to gather business requirements and translate them into multiple deliverables such as functional specifications, user stories, workflow diagrams.
  • Facilitated task approval workflow and file collaboration with SharePoint.
  • Designed custom user interface, using CSS and jQuery reducing overall load time by 10 minutes.
  • Built database, ensured data quality & data integrity, for a real-estate client, using SQL that improved load time by 8 seconds
  • Generated reports and informational dashboard to track KPIs and facilitate employees’ training program
  • Mentored and facilitated knowledge transfer sessions for new and existing team members

Education

Naveen Jindal School of Management, UT Dallas

Master’s Degree

Jan 2015May 2017

Institute Of Technical Education & Research

B.Tech. — Computer Science

Jan 2005Jan 2009

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