Data Analyst with near 3 years’ experience in NLP, automation, SQL, and business intelligence. Skilled at building ETL pipelines, predictive models, and dashboards to deliver insights that reduce costs and improve efficiency, with a proven ability to translate complex data into actionable deliverables for global clients including Amazon, Netflix, Disney, and Warner Bros.
Full-stack data analysis of bank transactions to drive business strategy. The project covers the entire data lifecycle: SQL data integration, Python-based exploratory analysis, RFM customer segmentation, unsupervised ML for anomaly detection, and an interactive business intelligence dashboard in Power BI.
An end-to-end data analysis of Amazon sales, featuring an automated SQL data pipeline, exploratory analysis in Python (Pandas), and an interactive Power BI dashboard for business insights.
Automated scraping, analysis, and visualization of global layoffs data from 2020-2025 using Python, MySQL, and Tableau with a prediction model using Prophet to predict expected trends for 2026.