Deval Mehta
Data Science Fellow @General Assembly
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WORK HISTORY
Data Science Fellow @General Assembly
12-week, 480+ hour immersive training experience in fundamental tools, methods, and best practices in data analysis, visualization, handling, and management, machine learning algorithms, and team-based collaboration. Projects include- Analyzing the covariance of educational outcomes with wealth inequity- Predicting housing prices in Ames, IA using tax-appraisal data- Investigating the validity of an IP suit using natural language processing methods- One-day hackathon: categorizing individuals by expected income, based on demographic data, when limited to using a random forest algorithm (98% AUC-ROC)- Determining the optimal distribution of solar, wind, and hydroelectric energy farms for New York to completely power the state on renewable energy using time-series KMeans clustering and Prophet projections- Analyzing transit equity across Eastern Queens with time-series HDBSCAN clustering and Louvain community detection methods.
EDUCATION
University of Delaware
Bachelor's Degree, Physics, Mathematics
Columbia University
Post-Baccalaureate Studies, Mathematics
General Assembly
Data Science
Stony Brook University
24 Credits of Graduate-level Coursework, Physics
Relay Graduate School of Education
Graduate Coursework, Secondary Education and Teaching
SKILLS
ABOUT DEVAL MEHTA
Data science is a tool for building more equitable systems — and I\'ve spent the last…
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