Radhika Goel

Data Scientist

San Francisco, California, United States9 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led causal inference strategy driving significant revenue growth.
Founded analytics function improving marketing ROI at Omni Rentals.
Revamped user journey increasing conversions at Bewakoof.com.

Stackforce AI infers this person is a Data Scientist with expertise in E-commerce and SaaS analytics.

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Skills

Core Skills

Data ScienceCausal InferenceProduct AnalyticsResearchProduct ManagementData AnalyticsData AnalysisBusiness Intelligence

Other Skills

Large-scale Data AnalysisSQLA/B TestingPredictive ModelingNLPDashboardingBehavioral AnalyticsMarkov Chain ModelsBehavioral AnalysisETLData AutomationBusiness StrategyBusiness DevelopmentMicrosoft OfficeAnalysis

About

Curious, driven, and impact-focused. I’m a data scientist who thrives in zero-to-one environments—turning ambiguity into structure through experimentation, causal inference, and storytelling with data. I've helped scale high-growth teams, led product-shaping initiatives, and built systems that connect insights to outcomes. Especially excited by frontier problems where data helps define the product itself.

Experience

9 yrs 9 mos

Total Experience

2 yrs 5 mos

Average Tenure

6 yrs 3 mos

Current Experience

Instacart

Senior Data Scientist

Mar 2020 – Present · 6 yrs 3 mos · San Francisco, California, United States · Hybrid

As the second data scientist on Instacart’s Ads team, I helped build the foundation for experimentation and measurement. I lead causal inference strategy and ad performance evaluation, launching initiatives like the ‘Grow Your Share’ uplift program and attribution pipelines via Meta and Google clean rooms. My work spans long-term impact metrics, iROAS testing, and predictive modeling—driving over $XXM in revenue and mentoring the next generation of data scientists.

Large-scale Data AnalysisSQLCausal InferenceA/B TestingPredictive ModelingData Science

Omni rentals

Data Scientist

Jan 2019 – Dec 2019 · 11 mos · San Francisco, California · On-site

Founded and scaled Omni’s data function, building the core analytics infrastructure across product, marketing, and GTM. Led KPI definition, dashboarding, and behavioral analytics; developed NLP-driven recommendations and attribution models that improved marketing ROI by XX%. Delivered insights that shaped the company’s SaaS pivot and product strategy.

Large-scale Data AnalysisSQLNLPDashboardingBehavioral AnalyticsData Science+1

Northwestern university

Data Scientist (Researcher)

Jul 2018 – Dec 2018 · 5 mos · Evanston · On-site

Analyzed customer behavior in shopping networks using Markov Chain models to assess loyalty, retention, and the impact of targeted marketing. Quantified stickiness and network effects across retailer types using longitudinal data, and simulated behavioral shifts using R.

Large-scale Data AnalysisSQLMarkov Chain ModelsBehavioral AnalysisData ScienceResearch

Bewakoof.com

Product Manager

May 2015 – Feb 2016 · 9 mos · Mumbai · On-site

One of the first two product managers at Bewakoof, I revamped the full user journey from homepage to checkout, driving a XX% lift in conversions. I launched A/B-tested retention features, led branding and creative strategy, and introduced outdoor product shoots—cutting costs by XX% and boosting conversion on featured items by XX%.

Large-scale Data AnalysisSQLA/B TestingProduct ManagementData Analytics

Goldman sachs

Analyst

Jun 2013 – Apr 2015 · 1 yr 10 mos · Bangalore, New York · On-site

At Goldman Sachs, I streamlined reconciliation workflows and automated data pipelines, saving 150+ hours annually. I improved ETL efficiency for real-time trading data, achieved 2.3x faster queries through backend optimizations, and reduced system downtime by 17%. As an intern, I built a tool to process 10K+ trade adjustments daily, replacing a manual workflow.

Large-scale Data AnalysisSQLETLData AutomationData AnalysisBusiness Intelligence