Data Science Fellow
Knoxville, Tennessee, United States
I participated in the Springboard Data Science Fellowship with a concentration in Advanced Machine Learning. The academic portion of the program totaled about 600 hours of coursework, projects, and detailed reports over an 8 month span. I completed multiple end-to-end machine learning projects and sharpened my skills in Python, SQL, Bash, Tableau, GCP, and the entire data science life cycle. My specialization gave me further experience in deep learning, NLP, and cloud computing.Throughout the fellowship, I worked under the direct supervision of an independent data science industry expert with several years of experience in the field. A quick overview of achievements:- Defined and conducted 6+ ML/analytics projects involving NLP, cloud frameworks, boosting models, and neural networks.- Extracted, wrangled, and validated over 1M records across multiple projects from raw sources (e.g., U.S. Census Data).- Built and deployed a full-stack educational application through Streamlit relying on Docker, AWS, and MySQL backend.- Produced several dashboards in Plotly and Tableau to illustrate exploratory data analysis and feature importance.- Drafted proposals, documented coding notebooks, and delivered final product presentations for each major project.