Rahul Bonnerjee
Human-Centered Data Scientist & Developer |
Professional Experience
Data Scientist
2021 - 2024
NationBuilder • Los Angeles, CA (Remote)
- Leveraged data analytics to empower communities and political campaigns with actionable insights
- Developed predictive models for voter engagement and campaign optimization
- Built data pipelines and dashboards for real-time campaign performance monitoring
- Collaborated with cross-functional teams to translate business requirements into data solutions
Data Scientist
2019 - 2021
Ford Motor Company • Dearborn, MI
- Applied data science to improve business planning and analytics processes
- Developed tools and models for calculation efficiencies in business planning
- Created data visualization dashboards for executive decision-making
- Implemented machine learning solutions for demand forecasting
Education
Master of Science in Information
2019
University of Michigan, School of Information • Ann Arbor, MI
- Specialization: Data Science and Human-Computer Interaction
- Coursework: Machine Learning, Information Visualization, User Experience Design
Bachelor of Arts in Economics & Environmental
Studies
2012
University of Michigan • Ann Arbor, MI
Technical Skills
Programming & Data
Python, R, SQL, JavaScript, Swift
Data Science & ML
Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
Visualization
Tableau, D3.js, Vega-Lite, Matplotlib, Plotly
Tools & Platforms
Git, AWS, Google Cloud, Firebase, Docker
Personal Projects
Markit iOS App
2016 – Present
Creator • markitplace.org
- Designed and built a crowd-sourced, map-based iOS marketplace connecting local farmers, artisans, and small businesses directly with consumers
- Developed the native iOS client from scratch using Swift, Xcode, and Apple Maps SDK, featuring real-time location-based product discovery
- Architected a serverless backend using Firebase (Firestore, Authentication, Cloud Functions, and Google Analytics) to support dynamic inventory updates and user messaging
- Piloting the application with local vendors and consumers in Detroit and San Francisco to bridge the gap in local food systems accessibility