๐ MS in Applied Data Science @ University of Chicago
๐ง Specializing in Generative AI, NLP, Bayesian Modeling, and Machine Learning
๐ Based in Chicago, IL
๐ LinkedIn | ๐ GitHub
I am a data scientist passionate about building intelligent systems at the intersection of healthcare, machine learning, and generative AI. With a solid foundation in statistics, deep learning, and NLP, I thrive in complex problem spaces and enjoy pushing the boundaries of whatโs possible with modern AI.
My experience at ZS Associates, a global healthcare consulting firm, equipped me to excel in high-pressure, fast-paced environments. There, I led machine learning initiatives, streamlined analytics pipelines, and mentored new team membersโall while delivering impactful solutions for top pharmaceutical clients.
Currently pursuing my Masterโs at the University of Chicago, Iโm actively working on a capstone project that applies LLMs and agentic frameworks to real-world clinical settings, combining multimodal retrieval-augmented generation (RAG) and reinforcement learning.
- Designing a centralized vector store with multimodal RAG and agent-based reasoning to enhance clinical decision support at UChicago Medicine
- Leveraging frameworks like AutoGen, CrewAI, and LangGraph to implement multi-agent LLM pipelines
- Extracted ideal patient cohorts for clinical trials from medical data and doctorsโ notes using NLP pipelines and PU classification
- Helped simulate patient inclusion strategies to enhance clinical trial success with faster patient identification
- Trained a C-VAE model to simulate age progression from facial portraits
- Integrated custom encoder-decoder architecture with PyTorch
- Developed a deep learning-based LSTM model to forecast London's Air Quality Index (AQI) using over 10 years of hourly data
- Benchmarked performance across multiple models: ARIMA, SARIMA, ARFIMA, ETS, BSTS, and LSTM
- Achieved best performance with LSTM (RMSE = 10.2), significantly outperforming traditional statistical approaches
I'm always open to collaboration, mentorship, and exploring new frontiers in data science. If you're working on something exciting in LLMs, agent systems, or healthcare AI, feel free to reach out!
๐ซ johnjojimelel@gmail.com
๐ LinkedIn
๐ GitHub
