Ohio State · Data Analytics · BMW AI Intern · Published Researcher

Building ML systems from
tumor microenvironments to wildfire drones.

Data Analytics student at Ohio State building end-to-end ML pipelines — from 1.2M+ spatial data points in cancer research to GenAI tooling at BMW. Published in iScience. 1st place at OSU Appathon.

PyTorch TensorFlow LLMs & MCP Computer Vision BMW AI Intern iScience Published 1st Place Appathon Hugging Face

View Experience See Projects Resume

Skills

Tech stack.

From raw data to deployed models. Statistical rigor meets production ML.

Languages

Python SQL R MATLAB

Frameworks & Libraries

PyTorch TensorFlow SciKit-Learn Pandas NumPy Matplotlib Seaborn Hugging Face

Tools & Platforms

GitHub AWS Tableau Power BI Docker PostgreSQL Jupyter

Experience

Where I've shipped.

Industry GenAI, published research, and clinical ML — all with measurable outcomes.

Summer Analyst

@ JPMorgan Chase & Co. — Chase Leadership Development Program

Summer 2026 · Incoming

Incoming

Data and AI Engineering Intern

@ BMW Financial Services

Sep – Dec 2025

Python PostgreSQL Docker LLMs MCP GenAI

Built MCP server tools connecting internal LLMs to PostgreSQL, improving data retrieval efficiency by 45%
Developed 3 Gen AI apps spanning fraud detection, business intelligence, and call center automation
Launched an AI governance platform enabling 95+ employees to submit model requests for compliance protocols

Undergraduate Aerospace Researcher

@ OSU Dept. of Mechanical & Aerospace Engineering

Jan 2025 – Present

Python MATLAB C++ Kalman Filter CAD

Building lightweight ML models for on-drone wildfire classification from aerial imagery
Partnering with Honda Aircraft Co. to engineer a flight-grade Active Sidestick Controller for a flight simulator
Implementing Kalman Filter reducing orientation error by 85% on IMU testbed; accepted at AIAA 2026

Undergraduate Student Researcher

@ OSU Wexner Medical Center — Assistive Technology

Jul 2024 – Present

Python Pandas Power BI MySQL Matplotlib

Analyzing 4,000+ patient data points; findings presented to clinicians led to a 25% improvement in outcomes
Applying hypothesis testing to identify demographic correlations and create visual representations
Published as second author at RESNA; presented at 2025 RehabWeek to 2,000+ attendees

Undergraduate Computational Biology Researcher

@ Nationwide Children's Hospital — Immune Response Modeling

Feb 2024 – Jun 2025

Python R Pandas Spatial Analysis Statistical Modeling

Analyzed 1.2M+ spatial data points from 30+ brain tumors, revealing cell clustering linked to ICI response
Developed advanced visualizations to analyze brain cancer cell interactions with immune cells
Published in iScience journal after designing algorithms to analyze tumor structures across cell types

Projects

Things I've built.

Computer vision pipelines, ML classifiers, and medical AI — all with real-world results.

Computer Vision · Sensor Fusion · May 2026

Autonomous Lego Technic Bugatti

Achieved 80% lane-following accuracy via adaptive thresholding CV pipeline at 30fps, publishing steering at 20Hz
Reduced path deviation by 75% fusing IMU with camera via Extended Kalman Filter over camera-only baseline

PythonOpenCVROS2 EKFSensor FusionC++

View on GitHub →

1st Place · OSU College of Medicine Appathon

Lymphedema Scanner App

Won 1st place at OSU Appathon with a 95%-accurate lymphedema detection iOS app
Implemented ARKit + SceneKit in Xcode with SwiftUI, using vector grids for facial volume capture
Integrated Google Firebase to manage user authentication and securely store scan data

SwiftUIARKitSceneKit FirebaseXcode

Computer Vision · Jun 2024

Animal Image Classification CNN

Designed an object-oriented CNN using TensorFlow and Keras achieving 98.2% classification accuracy
Trained on a balanced dataset of 5 animal classes using data augmentation for improved robustness
Optimized with multiple convolutional + pooling layers to enhance feature extraction

PyTorchTensorFlowKeras SciKit-LearnPandasPython

Industry · BMW Financial Services

GenAI & MCP Engineering Suite

Built MCP server tools for internal LLM pipelines, cutting data retrieval latency by 45%
Shipped 3 production GenAI apps: fraud detection, business intelligence, call center automation
Designed an AI governance platform for 95+ employees to submit compliant model requests

PythonLLMsMCP PostgreSQLDocker

Research & Publications

Published & recognized.

From spatial data ML to assistive technology outcomes — research that reaches clinicians.

iScience · Cell Press Published

Computational Modeling of Immune Response in Glioblastoma Tumor Microenvironments

D. Chavan (Second Author) · Nationwide Children's Hospital · 1.2M+ spatial data points, 30+ tumor samples

View Publication →

AIAA SciTech 2026 · Aerospace Sciences Accepted

Test Stand Design & Construction for Affordable and Safe Drone Flight Tests

D. Chavan & A. Jhemi (First Author) · OSU Dept. of Mechanical & Aerospace Engineering

View Paper →

RESNA International Conference 2025 Published

Assistive Technology Outcomes: Analysis of Patient Data to Improve Clinical Decision-Making

D. Chavan (Second Author) · OSU Wexner Medical Center · Presented at RehabWeek 2025