Priyesh S. Kulkarni

About Priyesh S. Kulkarni

I am a Remote Machine Learning Consultant and PhD Scholar in Computer Science, specializing in applied machine learning for real-world engineering and energy systems.My work focuses on time-series forecasting, predictive modelling, and uncertainty analysis using Python, with an emphasis on delivering robust, interpretable models for decision-making under noisy data conditions.I have experience in:• Developing ML models for production-style datasets• Time-series forecasting and risk modelling• Building Python-based ML pipelines• Applied data science for engineering systems• Cloud-ready ML workflows and MLOps fundamentalsAlongside research, I work on remote, project-based ML engagements that allow flexible scheduling and outcome-driven collaboration.I am currently open to:• Remote ML consulting contracts• Part-time Machine Learning Engineer roles• AI research assistantships• Freelance data science projectsI value clarity, reproducibility, and real-world impact over experimental benchmarks.

Experience

1. Doctoral Researcher

   IR.MITWPU -Dr. Vishwanath Karad MIT World Peace University

   Feb 2026 — Present · Pune, IN

   Working as a Machine Learning & Data Modelling Consultant, delivering data-driven forecasting and analytical solutions for energy and technology-focused projects.Key responsibilities include:• Developing machine learning models for time-series forecasting and production-style datasets• Building Python-based ML pipelines for modelling, validation, and deployment-ready analysis• Performing uncertainty and risk analysis to support decision-making under noisy data conditions• Translating complex model outputs into clear, business-relevant insightsMy work emphasizes applied ML for real-world systems, prioritizing robustness, interpretability, and decision impact over experimental benchmarks.

Education

• University of Mumbai

  Bachelor's degree, Computer Science

• Yashwantrao Mohite College of Arts, Science and Commerce, Pune

  Master's degree, Computer Science

• MIT World Peace University

  Doctor of Philosophy, Computer Science