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Samay Bhalodia

@samaybhalodia

Business Intelligence Analyst at Marken (UPS Healthcare) who recovered $200K+ through logistics billing analysis.

At Marken (UPS Healthcare), I built an LLM document-extraction tool using RAG and OpenAI models to turn invoice PDFs into queryable billing data. My cost-analysis reporting identified billing discrepancies and drove $200K+ in revenue recovery.

I also built a SQL/Python ingestion pipeline on Microsoft Fabric to consolidate logistics data, and delivered Power BI dashboards for finance and operations leaders.

At Google, I applied BERT to employee feedback and supported workforce-trend forecasts for People Ops. I also built agentic analytics workflows and automated reporting with GoogleSQL and Python.

Across NC DHHS, LiveIntent, and Ally Bank, I worked on public-health analysis, ad-sales forecasting and experimentation, and treasury reporting. I’ve used tools including SAS, Tableau, Looker, Airflow, and SQL Server to prepare data and deliver analysis for decision-makers.

Experience

Work history, roles, and key accomplishments

Current

Business Intelligence Analyst

Current

Marken (UPS Healthcare)

Jun 2025 - Present (1 year 4 months)

Built an LLM document-extraction tool using RAG with OpenAI models to convert unstructured invoice PDFs into structured billing data. Drove $200K+ in revenue recovery by identifying billing discrepancies and delivered Power BI dashboards for finance and operations leaders.

LLM RAG OpenAI SQL Python Microsoft Fabric Power BI Copilot

Strategy and Operations Data Analyst

Google

Aug 2024 - Feb 2025 (6 months)

Applied Google's BERT model to measure employee sentiment from free-text feedback and built agentic analytics workflows with Gemini-based AI tools. Analyzed mobility and satisfaction data using GoogleSQL and Python, automating reporting pipelines.

BERT NLP GoogleSQL Python Gemini Agentic Workflows Google Sheets

Health Informatics Data Analyst

NC DHHS

Mar 2023 - Oct 2023 (7 months)

Transformed and analyzed unstructured public-health data in SAS for the Healthy NC 2030 initiative. Built Tableau and R Shiny visualizations and Excel forecasts to inform state-level policy.

SAS Tableau R Shiny Excel Data Analysis Public Health

Business Intelligence Analyst

LiveIntent

Aug 2021 - Dec 2022 (1 year 4 months)

Built predictive models in Python to forecast ad sales and designed A/B tests for campaign optimization. Modeled metrics in LookML over Amazon Redshift and GCP, delivering self-serve Looker reporting and orchestrating workflows with Airflow.

Python scikit learn A B Testing LookML Amazon Redshift GCP Looker Airflow SQL

Data Analyst

Ally Bank

Jul 2019 - Aug 2021 (2 years 1 month)

Wrote SQL queries and stored procedures against treasury databases, mined data in SSAS, and reported through SSRS. Automated trade uploads to QRM and used VBA to populate financial models with Bloomberg data.

SQL SSAS SSRS VBA Bloomberg QRM Financial Reporting