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Nisha Sah

@nishasah

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Data Analyst building end-to-end pipelines and Power BI dashboards for data-driven decisions.

India

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What I'm looking for

I’m looking for a role where I can build end-to-end data pipelines and SQL-ready datasets, create executive-ready Power BI dashboards, and deliver measurable business insights with cross-functional collaboration.

I’m a Data Analyst with hands-on experience building end-to-end data pipelines—from extraction and cleaning to SQL analysis and cloud data warehousing. In my recent internship, I cleaned and processed 5,64,159+ village records, resolving duplicates, nulls, and formatting issues to achieve near 100% data accuracy.

I’ve also built production-style analytics through projects like a Customer Churn Intelligence System. Using Python, Snowflake, SQL, and Power BI, I delivered an ETL pipeline for churn prediction and achieved 80% accuracy with a 0.84 ROC-AUC score, while flagging high-risk customers for retention.

I enjoy turning messy data into clear decisions, supported by structured warehousing (PostgreSQL, Snowflake) and practical visualization (Power BI, Matplotlib, Seaborn). I aim to support cross-functional teams with measurable insights and reliable, scalable data transformations.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

Bluestock Fintech

Apr 2025 - Present (1 year 4 months)

Cleaned and processed 564,159+ village records from multiple Excel files using Python (Pandas), achieving near 100% data accuracy by resolving duplicates, null values, and formatting inconsistencies. Built a normalized PostgreSQL schema for hierarchical geographic data and wrote SQL queries for validation and transformation while detecting and preventing corrupted source data from entering downstr