Abrish Aaditya

WORK HISTORY

EDUCATION

ABOUT ABRISH AADITYA

I’m a graduate data scientist and applied ML researcher with hands-on experience across some of the most demanding research environments — including Xu Lab at Carnegie Mellon University, Systems Realization Laboratory at the University of Oklahoma, CSIR-NCL, and NSTL-DRDO.My work blends machine learning, data analysis, and domain-driven research to build intelligent systems in areas like energy storage, imaging, agent-based modeling, and EV infrastructure.What I bring to the table:• 14 peer-reviewed research publications Elsevier, Taylor & Francis, Wiley)• 2 patent applications on energy storage and industrial automation• Projects spanning GBMs, Random Forests, OCR, Reinforcement Learning, and more• Ranked in the top 0.5% on Kaggle, reflecting real-world model-building skills• Solid foundations in Python, TensorFlow, Scikit-learn, SQL, Pandas, OpenCVFrom predicting battery capacity to policy design using LLMs, I’ve consistently worked at the edge of ML and engineering research, turning messy, interdisciplinary problems into data-backed solutions.I’m now actively looking for roles in:Applied Machine LearningData Science / Data EngineeringAI for Energy, Imaging, or Intelligent SystemsLet’s connect if you’re looking for someone who builds with both research rigor and production-ready efficiency.