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Aastha Thakur

@aasthathakur1

Data professional at ZS Associates who built AWS-to-Snowflake pipelines for pharma clients and a Python RAG document Q&A pipeline.

India

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At ZS Associates, I built AWS ELT pipelines with S3, Glue, Airflow (MWAA), and Snowflake SQL for pharma source feeds. I also used Claude and Snowflake Cortex to speed up root-cause analysis and data work.

On my personal RAG-Based Document Q&A Pipeline project, I built a Python retrieval system using Sentence Transformers, Chroma DB, and Llama 3.2 via Ollama. I also worked on AI product features at Field Assist and analyzed workforce and business records as an MIS Intern at Mercer (Marsh McLennan).

Experience

Work history, roles, and key accomplishments

Business Technology Solutions Associate

ZS Associates

Nov 2025 - Aug 2026 (9 months)

Leveraged AI tools to accelerate data analysis and documentation, built AWS ELT pipelines, and reduced data defects by ~40% through automated validation checks.

Claude Snowflake Cortex S3 AWS Glue MWAA (Airflow)Cloudwatch SnowSQL Python SQL Power BI Data Modeling ETL ELT Data Quality Root Cause Analysis Stakeholder Management

Product Success Analyst

Field Assist

Jun 2025 - Oct 2025 (4 months)

Drove adoption of AI features for field sales users and analyzed usage data to improve route-optimization efficiency.

Image Recognition Product Analytics Data Analysis Route Optimization SQL Excel

MIS Intern

Mercer (Marsh McLennan)

Jan 2025 - May 2025 (4 months)

Analyzed workforce and business records with SQL and Excel, built client-ready reports, and improved dataset accuracy through data cleaning and validation.

SQL Excel Data Analysis Data Cleaning Data Validation Reporting