Swati Sharma

Data Scientist

San Francisco, California, United States14 yrs 1 mo experience

Highly StableAI Enabled

Key Highlights

Over 13 years of experience in data science.
Expert in A/B testing and predictive modeling.
Strong collaboration with cross-functional teams.

Stackforce AI infers this person is a Data Science expert in Advertising and Financial Services.

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Skills

Core Skills

Data ScienceMachine LearningQuantitative Finance

Other Skills

LLMgen AIA/B TestingPredictive ModelingPeer MentoringDeep LearningLarge Language Models (LLM)Search AdvertisingTime Series AnalysisMarket RiskFinancial MarketsStatistical ModelingStatistical ArbitrageFinancial EngineeringPortfolio Optimization

About

Data scientist with 13+ years of experience in experimentation, predictive modeling and presenting technical concepts to cross functional stakeholders. Have deep interest in the intersection of product, science and engineering.

Experience

Amazon

Senior Data Scientist, Amazon Advertising

Nov 2021 – Present · 4 yrs 4 mos · San Francisco, California

Founding member of the thematic widget Ad experiences program on search pages, leading large-scale A/B testing for Amazon Advertising contributing to $ B Ad revenue
Launched customized widget experiences, including "Picks from Amazon Influencers," generating $MM Sponsored Ad revenue and pioneered social media integration on Amazon search page . Lead scientist collaborating with cross functional leadership, scientists, engineering and product managers leading discussions on shopper engagement vs. revenue tradeoffs.
Designed and implemented LLM-based projects to contextually enhance ad depth on search pages
Lead Scientist on series of GenAI experiments testing ad-integration and placement of AI experiences on search pages influencing product leadership from Core Search, Ads and Rufus (GenAI) Orgs.

LLMgen AIA/B TestingMachine LearningPredictive ModelingData Science

State street

2 roles

Senior Data Scientist

Promoted

Feb 2017 – Nov 2021 · 4 yrs 9 mos

Acted as primary data partner to business, risk, and regulatory stakeholders, translating complex modeling outputs into actionable decisions for executives and regulators.
Developed a suite of models to produce loan level credit risk metrics for Commercial Real Estate (CRE) loans. Metrics include Probability of Default (PD), Loss Given Default (LGD), Expected Loss (EL) directly informing capital allocation for $4B in revenue exposure.

Data ScienceQuantitative Finance

Data Scientist

Feb 2012 – Feb 2017 · 5 yrs

Developed and presented market risk models to regulators to ensure models are fit for use for capital and reserve calculation purposes.
Fixed Income: Calculated Value at Risk for Foreign Government and Corporate bonds netted by counterparty, rating and duration directly impacted capital allocation decisions
FX Risk: Generated PFE (Potential Future Exposure) numbers which were Spot/Barrier ratios for 109 currencies that bank had exposure to as inputs to enterprise-level stress testing.

Data ScienceQuantitative Finance