2022-2023

Data Analyst at CDC Foundation

Analyzed data within the CDCF OD2A program at CDPH using Python, Pandas, Numpy, Plotly, and SQL. Performed statistical analyses and communicated findings to stakeholders and directors. Created visually appealing visualizations using Python libraries and developed interactive dashboards with Power BI. Conducted geospatial analysis using Python and diverse data sources to establish correlations between overdose rates and program effectiveness. Collaborated with cross-functional teams and directors to enhance program outcomes through data-driven insights. Managed on-site survey data collection at multiple locations to ensure data quality. Business analysis provided for SSP providers to improve efficiency in overdose prevention efforts. Utilized scripting languages for ETL.

2021-2022

Freelance Data Scientist at Place Called Home

Developed advanced exploratory data analysis techniques to uncover patterns, relationships, and trends. Developed algorithmic and programming tools utilizing libraries to build precise predictive models, including KNN models. Leveraged music data attributes such as tempo, acousticness, valence, and energy to enhance accuracy. Designed visually appealing reports and conducted statistical analysis Streamlined processes by automating jobs and implementing automatic containerization using custom-built APIs for efficient data storage. Further extension from initial final project from bootcamp to continue development with company and team. Successfully completed two month contract