Welcome to my GitHub profile! I am an M.S. Data Science student at the University of Colorado Boulder (expected May 2026). I focus on building reproducible data and ML workflows, evaluation artifacts, and validation gates so results are reviewable and deployment-ready.

📍 Vista, CA
🌐 LinkedIn: https://www.linkedin.com/in/rohan-jain11
📫 Email: [email protected]

• Master of Science in Data Science
  University of Colorado Boulder
  Expected May 2026

• Bachelor of Engineering in Computer Engineering
  Rajiv Gandhi Institute of Technology, Mumbai
  Jul 2020 to May 2024

• Data Science and Engineering Intern
  Nexus Weather and Climate (May 2025 to Present)

  • Built and benchmarked ML pipelines for ensemble forecasting post-processing
  • Created evaluation artifacts and metric-driven comparisons (MAE, MSE, CRPS)
  • Implemented inference quality gates and reproducible run artifacts to improve reliability

• Graduate Research Assistant
  University of Colorado Boulder (Kopf Lab) (Dec 2025 to Present)

  • Reverse-engineering legacy binary formats and serialization patterns (MFC CArchive style)
  • Building deterministic R readers with validation checks to make older data accessible again

• AI PDF Chatbot for Research Papers

  • Local-first project that lets users upload a PDF and chat to extract information efficiently

• Diabetes Analytics Website (ML Models and Visualizations)

  • Implemented multiple models (Naive Bayes, Logistic Regression, Decision Trees) with evaluation outputs and structured explainers

• Yoga Posture Detection and Correction (Research Project)

  • Developed a neural network approach for posture classification and correction, achieving 96.5% accuracy

• Denver International Airport Data Integration Dashboard (Hackathon, 3rd Place)

  • Designed a dashboard solution to streamline operational insights and reporting

• Netflix Dashboard (Tableau)

  • Built a Tableau dashboard to analyze engagement and content performance

• Programming and Databases: Python, R, SQL (MySQL, PostgreSQL), MongoDB
• ML and Analytics: model selection and tuning, feature engineering, time-series forecasting, probabilistic evaluation (CRPS)
• Libraries: scikit-learn, TensorFlow, PyTorch, pandas, NumPy, Matplotlib, Seaborn, Plotly
• Tools and Cloud: FastAPI, REST APIs, Git/GitHub, Tableau, Power BI, AWS, Azure, Apache Spark

• Data engineering foundations (pipelines, testing, reproducibility)
• Advanced SQL (MySQL and PostgreSQL)
• ML evaluation and reliability for forecasting workflows

• LinkedIn: https://www.linkedin.com/in/rohan-jain11
• GitHub: https://github.com/rohanjain11

Did you know that the first computer programmer was Ada Lovelace? She wrote an algorithm for Charles Babbage’s Analytical Engine in the mid-1800s.

Feel free to reach out for collaboration, internships, or a chat about data science and data engineering.
📧 [email protected]