Utilized Google Apps Script for data analysis and data automation
Flight disruptions analyzed from DOT 2015 dataset. Visualizing airline performance for empowered travel decisions. Flexible, seamless Tableau dashboard.
Power BI dashboard of FIFA World Cup tournaments spanning from 1930 to 2018.
Constructed a three way forecast model for a S&P 500 company based on three scenarios.
Analysis of energy sector's fall in 2015. Using S&P 500 data, I examined financial metrics, revealing drastic decline in revenue and active companies.
In-depth analysis of police killings dataset (Jan-Jun 2015) using Excel. Goal: identify factors, suggest insights to reduce future occurrences.
Uncovered digital music store insights with SQL queries: artist data, sales trends, and marketing strategies.
Python project in DataCamp: Analyzed Facebook & Amazon stock data, calculating risks & returns with Sharpe Ratio.
Explored 13000+ video games (1977-2020) with SQL. Analyzed sales and reviews data to determine gaming market trends and best performing year.
Examined 4 datasets for data quality issues in KPMG virtual internship task. Used Python and SQL to identify issues, mitigate them, and provide recommendations