What I've Been Working On

Developed a production-ready analytics pipeline using Snowflake and dbt to consolidate raw events, separate installation fees from recurring royalties, and deliver self-service insights with robust testing and snapshots.

Developed an end-to-end data pipeline using Northwind database API, PostgreSQL, DBT, and Tableau for seamless data extraction, transformation, and visualization.

I developed an interactive dashboard to analyze and visualize key metrics from an ad campaign. Leveraging Python and data visualization tools, I extracted valuable insights on earnings, eCPM, impressions, CTR, and unmatched request rates over a three-year period.

I developed classification models to predict customer churn. By analyzing customer behavior data, I identified customers who are likely to churn and used these insights to inform retention strategies and improve customer loyalty.

Analysis of digital gender gap in multiple countries reveals significant disparities in access, usage, and skills. Women face barriers like limited internet access and lower digital literacy, resulting in a substantial gender divide in the digital world.

Explore the legacy of Nobel Prize winners using Python libraries for data analysis. Uncover insights, patterns, and trends through visualizations and data-driven storytelling. Join me on this journey of discovery as we celebrate human excellence and unravel the compelling stories behind the Nobel.

This project involved successfully solving the HackerRank SQL challenges, demonstrating my proficiency in SQL query writing, database manipulation, and problem-solving skills. Through this challenging and rewarding experience, I honed my SQL expertise and expanded my data-related skillset.

A breakdown of revenue drivers by store location for toy sales.

An exploratory data analysis (EDA) of New Year resolutions made on Twitter in 2015.

This project involves the analysis of sentiment in earnings conference call transcripts of various companies. The goal is to extract insights and understand how different companies are perceived based on the sentiment within their transcript.