Aug 2025 – Present · 7 mos · San Jose, California, United States

• Built a reproducible ETL pipeline leveraging MongoDB for initial ingestion, then cleaned and loaded healthcare datasets from clinical and public health sources to support predictive modeling and longitudinal studies.
• Conducted statistical analysis and hypothesis testing on patient outcomes and intervention effectiveness using Python and advanced SQL, contributing to research on data-driven decision-making in population health management.

Jan 2024 – Dec 2024 · 11 mos · On-site

• Developed and deployed LLM-based chatbots and agents using Ollama to streamline data requests, increasing regulatory response speed by 65% (72 mins to 32 mins) and reducing manual triage workload, demonstrating strong analytical and data exploration skills.
• Engineered a real-time telemetry ingestion system using Apache Airflow and dbt to process 10K+ daily records, achieving a 35% improvement in support (15 inci/week to 10 inci/week) and reinforcing rigorous data quality measures.
• Directed end-to-end experimentation design utilizing A/B testing and hypothesis testing to improve product feature adoption by 48% while reducing customer churn by 55%, aligning with business insights objectives.
• Constructed interactive dashboards using Tableau to integrate predictive metrics, causal inference analysis, and business KPIs, thereby enhancing decision-making efficiency by 60% and effectively communicating results through clear visual presentations.

Jul 2023 – Dec 2023 · 5 mos · Mumbai, Maharashtra, India

• Reporting and Dashboards: Built interactive Power BI dashboards to visualize omnichannel marketing KPIs, predictive forecasts, and campaign ROI, empowering strategy teams with real-time performance insights.
• Business Insights and Analytics: Led deep-dive analysis into customer LTV, funnel performance, and segmentation. Conducted RCA for marketing anomalies and presented findings that drove a 30% improvement in strategic planning.
• A/B Test Analysis: Supported campaign experimentation strategies by measuring performance across influencer and programmatic marketing. Used uplift and trend analysis to recommend high-performing channels.
• Leadership and Collaboration: Collaborated across people analytics, product, and marketing teams to design data pipelines and dashboards, aligning deliverables with executive expectations and campaign goals.
• Analytics Infrastructure: Engineered ETL pipelines using Python, SQL, and AWS Glue to unify data from 5+ platforms into Snowflake. Implemented data quality checks, idempotent loads, and real-time error handling.
• Mentorship and Training: Played a key role in vendor onboarding and internal enablement—explained platform functionalities, resolved issues, and iteratively improved usability based on stakeholder feedback.

Feb 2023 – Jul 2023 · 5 mos · Mumbai, Maharashtra, India

Feb 2022 – Jul 2022 · 5 mos · Pune, Maharashtra, India

• Reporting and Dashboards: Created Power BI dashboards to track KPIs like budget utilization, project completion, and resource allocation—helping leadership make informed portfolio decisions.
• Business Insights and Analytics: Consolidated data from Excel, timesheets, and project tools using Power Query, improving processing speed by 15%. Analyzed market trends and competitor data to guide product strategy.
• A/B Test Analysis: Not directly involved in traditional A/B tests, but conducted feature impact analysis and presented scenario-based insights for product roadmap decisions.
• Leadership and Collaboration: Supported cross-functional collaboration by aligning analytics insights with design, product, and management teams during key planning phases.
• Analytics Infrastructure: Standardized reporting templates and schemas to unify fragmented datasets, improving consistency and analytical efficiency across tools.
• Mentorship and Training: As an intern, absorbed mentorship but also contributed to knowledge-sharing by documenting workflows and onboarding guides for subsequent interns.

Jul 2021 – Aug 2021 · 1 mo

• Technology Used: AI in Python.
• Explored in AI libraries such as tensorflow, keras etc.
• Worked on NLP. Converted German Language to English Language by different steps such as
• tokenization,knn etc.

May 2021 – Aug 2021 · 3 mos · Raipur, Chhattisgarh, India

• Analysed the rate of Air Quality Index of 100+ station and predicted the rate of AQI in air.
• Imputed a dataset with 1,00,000+ records
• Plethora of library explored in this project, such as Numpy, Pandas, Boxplot, Sklearn, matplot.lib.
• Predicted the AQI before and after removing the outliers in the dataset and the change in accuracy.

Jan 2021 – Aug 2021 · 7 mos · Nagpur, Maharashtra, India

Aug 2020 – Nov 2020 · 3 mos · India

Jun 2020 – May 2021 · 11 mos