Rahul Bonnerjee

Human-Centered Data Scientist & Developer |

Professional Experience

Data Scientist

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

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

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

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

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

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