Shreeya Verma

Principal Data Scientist

Lead end-to-end development of customer-facing AI products, including text categorization and summarization engines. Architected data cleansing frameworks that optimized LLM outputs, cutting token consumption by 12% and reducing operational latency and costs.

AILLMText CategorizationSummarizationData CleaningProduct DevelopmentCross Functional CollaborationMentorshipResearch

Lead Data Scientist

Nike

Built and validated predictive statistical models forecasting product return volumes, identifying core drivers of returns for digital orders. Leveraged Adobe Analytics and clickstream data to assess user behavior and drive A/B testing strategies.

predictive modelingStatistical AnalysisAdobe AnalyticsClick Stream DataA B TestingCross Functional CollaborationKPI development

Sr. Data Scientist / Management Consultant

Ernst & Young

Led member segmentation initiatives for major retail clients, designing executive dashboards tracking customer engagement and purchasing patterns. Spearheaded monthly statistical demand planning and forecast validation for Dow using SAS and Tableau, improving forecasting accuracy.

Data ScienceConsultingSegmentationDashboard DesignSASTableaudemand planningForecastingMachine LearningHealthcare Analytics

Data Scientist

Analyzed the performance of a high-traffic healthcare portal using Google Analytics, delivering actionable optimization insights to enhance user experience and site performance.

Google AnalyticsData AnalysisHealthcareUser ExperienceOptimization

Data Analyst

Created advanced modeling frameworks to investigate atmospheric data for carbon emission estimation, designing experiments that reduced modeling error by 30%. Developed robust calibration tools for remote-sensing instruments, subsequently adopted by 4 research institutes across the European Union.

ModelingAtmospheric Data CollectionCarbon Emission EstimationExperimental DesignCalibrationRemote Sensing