Sujal Sirimilla - Resume

• Conduct research on interpretable machine learning for jet tagging using Generalized Additive Models (GAMs) and baseline ML methods.
• Implement data preprocessing, feature analysis, and model evaluation pipelines in Python.
• Analyze model interpretability and performance to understand physically meaningful patterns in particle jet data.

• Selected for the Webmaster team of Triton Robotics, a competitive UCSD robotics organization.
• Contribute to the design, development, and maintenance of the club website; redesigning a new site using React + Netlify.
• Building an interactive 3D robot simulator with real-time keyboard teleoperation using Three.js and WebGL.

• Provide one-on-one and small-group tutoring in calculus and precalculus, supporting 50+ students weekly.
• Adapt explanations to diverse learning styles and help students clarify concepts and solve problems.
• Develop students' problem-solving strategies and study approaches; provide personalized exam feedback.
• Foster an academic environment where students feel comfortable asking questions and engaging with material.

GitHub Repo

• Trained and deployed an XGBoost regression model for airport wait-time prediction using cyclical time features.
• Performed fairness evaluation across citizenship groups and documented error disparities.
• Packaged the model behind a Flask API and deployed to Render for scalable inference.

GitHub Repo

• Built an end-to-end ML pipeline predicting hurricane-related power outage severities across the U.S.
• Performed data cleaning, EDA, hypothesis testing, and feature engineering using Pandas.
• Created a static portfolio website with Plotly, Matplotlib, and Power BI visualizations.
• Conducted fairness evaluations using permutation tests and bias analysis; model achieved 98% accuracy.

Programming & Scientific Computing

Python, NumPy, SciPy, Pandas, MATLAB

Machine Learning & Statistics

Scikit-Learn, XGBoost, Feature Engineering, Model Evaluation, Fairness/Bias Analysis

Data Visualization & BI

Matplotlib, Plotly, Folium, Power BI

Tools & Platforms

Git/GitHub, JupyterLab, Google Colab, Render, Flask, Jekyll, GitHub Pages

Relevant Coursework

• Data Science: DSC 10-100 (Principles, Programming & DSA, Data Management/SQL)
• Mathematics: Calculus (full sequence), Linear Algebra, Probability & Statistics
• ECE: Analog Design, Circuits & Systems