Welcome to My Journey
Data Viz (Movement Labs)
- Role: Led the data analysis and presentation to senior leadership.
Technologies Used: Looker Data Studio, SQL, BigQuery.
- Key Features:
- Analyzed positive, negative, and neutral responses from contacted voters.
- Created visualizations to enhance understanding of voter engagement.
Challenges Overcome: Synthesized large datasets into clear, actionable insights.
As the leader of the data analysis and presentation for a voter response project, I utilized advanced technologies and overcame data synthesis challenges to create visualizations that effectively conveyed positive, negative, and neutral responses, ultimately providing a comprehensive assessment to senior leadership.
Voter Demographic Heat Maps (DigiDems)
Overview: Developed a political heat map to improve voter targeting accuracy.
Role: Designed and implemented the map using data analytics tools.
Technologies Used: Looker Data Studio, Google Cloud Platform, BigQuery.
- Key Features:
- Visualized voter support scores for Congressman Bishop across counties.
- Enhanced the precision of voter targeting efforts.
Challenges Overcome: Integrated multiple data sources to create a cohesive visualization.
Results: Improved targeting accuracy by 20%, providing strategic insights for electoral campaigns.
Spotify vs. YouTube (Statistical Analysis)
Overview: Conducted an A/B testing project to analyze streaming numbers on Spotify and viewership on YouTube.
Role: Led the analysis using advanced statistical techniques.
Technologies Used: Python (pandas, matplotlib, numpy, scipy), other statistical analysis tools.
- Key Features:
- Utilized the Central Limit Theorem and hypothesis testing to derive insights.
- Analyzed data to understand user engagement and content performance.
Challenges Overcome: Ensured data accuracy and reliability in testing conditions.
Results: Provided actionable insights to improve content strategy.