Hi, I'm Nithin Applied Data Science Graduate student at Syracuse University who loves turning messy data into intelligent systems that actually matter.
I don't just build models to hit accuracy metrics. I build them to solve real problems whether that's optimizing healthcare operations, analyzing 92 million election records, or building AI agents that orchestrate complex workflows.
When I'm not training models, you'll find me experimenting with new ML tools, creating dashboards that tell stories, or diving deep into the latest in LLMs and MLOps.
- 🎓 MS Applied Data Science @ Syracuse University (Graduating Dec 2025).
- 🔬 Currently a Research Assistant building AI-powered systems.
- 📉 Reduced inventory costs by 22% and saved ~$34K at previous role.
- 🏥 Built OncoFlow a 12-tool AI orchestration system for oncology scheduling.
- 🗳️ Analyzed 92M+ FEC records to uncover campaign finance patterns.
- 🧠 Created deep learning models for medical imaging with explainable AI.
- 🚀 Actively seeking Data Scientist & ML Engineer roles (Jan 2026 start).
Languages: Python • SQL • R • PySpark
ML/AI: TensorFlow • PyTorch • Scikit-learn • HuggingFace • LangChain
Cloud: AWS (S3, EC2, Lambda, SageMaker) • Azure • Docker
Data: Pandas • NumPy • Spark • ETL Pipelines
Visualization: Tableau • Power BI • Plotly • Matplotlib
MLOps: MLflow • Git • CI/CD • Model Deployment
I'm Actively looking for opportunities in Data
If you're building something interesting with data or just want to chat about ML — I'm always happy to connect!
"In God we trust. All others must bring data." — W. Edwards Deming
⭐ If you find my work useful, consider starring the repos!