About Me
"The biggest risk is not taking any risk... In a world that is changing really quickly, the only strategy that is guaranteed to fail is not taking risks." — Mark Zuckerberg
I am a Business Intelligence Analyst with a strong passion in analytics engineering.
I am a massive data nerd with extensive experience solving business problems in marketing and finance with data analytics and a 2x data hackathon winner.
When not "working," I am building my own projects ranging from automating my everyday life, or solving problems for others through data analysis. I am also mentoring others in the field of data, from working on their personal brands on LinkedIn, to teaching them skills in data analytics like Python, SQL, and Tableau.
Projects
BrightFutures Dashboard
📚 Tech Stack: Python, SQL, Tableau
Developed a data-driven dashboard to streamline school selection in Southern California using Python, Snowflake, and Tableau. Enhanced data interpretation for informed educational choices, leveraging web scraping and interactive visualizations.
Helldivers 2 Dashboard
📚 Tech Stack: Python, SQL, Tableau
Created an analytics tool to improve Helldivers 2 gameplay by analyzing Steam player feedback. Used Python and Tableau for sentiment analysis and visualizations, addressing server performance and content variety issues for better player experience.
Montreal Crime Analysis
📚 Tech Stack: Python, SQL, Tableau
Analyzed Montreal crime data with SQL, Python, and Tableau. Created interactive dashboards to inform law enforcement and city planning. Enhanced data quality and collaboration, identifying crime patterns and seasonal trends.
Yelp Reviews Algorithm
📚 Tech Stack: Python, SQL, Tableau
Developed an interactive Yelp business ranking dashboard using Python and Tableau. Applied sentiment analysis and linear regression to rank businesses, visualizing insights to highlight top performers based on reviews and ratings.
Strava Run Analytics
📚 Tech Stack: Python, Tableau
This project aims to assist in marathon preparation by tracking runs and displaying locational data. It provides in-depth, granular analysis with second-by-second data on elevation, pace, and other metrics.
FMA Marketing Dashboard
📚 Tech Stack: Python, Excel, Tableau
This project enhances FMA's Instagram strategy by analyzing data with Python and visualizing trends using Tableau. It identifies engagement patterns, optimal posting times, and content preferences, boosting reach and engagement.
Google Analytics Session
📚 Tech Stack: BigQuery, SQL
This project analyzes Google Analytics data to provide insights into user behavior, website performance, and marketing effectiveness using SQL queries. Key analyses include transactions per device, bounce rates, product pageviews, and revenue per session.