Nirmal Parmar, Phd Email and Phone Number

Orchestrated transformative data-driven solutions for global supply chain and repair processes, collaborating closely with supply chain managers, logistics specialists, and procurement teams. Provided visionary leadership and insights to CxO and VP level executives, presenting advanced machine learning and deep learning techniques to facilitate strategic decision-making.•Spearheaded significant enhancements and PoC development in various projects such as time series forecasting, sentiment analysis, LLM & NLP processing, and implemented sophisticated anomaly detection.•Directed the implementation of advanced data science best practices, fostering a culture of excellence through meticulous code reviews and steadfast adherence to MLOps within the team.•Played a pivotal role in the Data Science Steering Committee, contributing strategic insights and influencing organizational decision-making by highlighting critical and emerging data science themes essential for advanced training.•Demonstrated exceptional proficiency by optimizing computation resources, introducing a Python code that achieved up to a 50% time reduction in computation•Developed and deployed from scratch a Python library for the 'Safety Stock Optimization Engine' for the Global Supply Chain department that helped to refine inventory policy to save significant inventory cost•Prepared Generative AI PoC with Gemini LLM to identify alternative parts of technical products with a similar technical description, compare, and analyze which significantly reduces business efforts and time

Led a bilateral international mobility project in collaboration with PCM2E Group, University of Tours, France, focusing on advanced data analytics for energy storage data research.Devised and implemented various sophisticated machine learning models and Python packages, including an ANN powered with mathematical gnostics from energy storage material's property data. e.g.; developed PyCpep Python package containing ANN for predicting error in heat capacity measurement with an exceptional accuracy rate of 99.84%.•Conducted advanced data analysis using mathematical gnostics, employing techniques such as marginal analysis, data clustering, data certification, and gnostic regression.•Collaborated extensively with government bodies and senior scientists on an international level.

Drove impactful research focused on advanced model development utilizing thermodynamic and thermo-economic data.•Formulated a pioneering mathematical model for exergy destruction and employed data analysis to optimize the heating system's performance.•Implemented data-driven strategies to significantly reduce power consumption, contributing to sustainable and efficient energy solutions.

•Delivered engaging lectures/talks and practicals on Heat and Mass Transfer, Thermodynamics, and Basic Elements of Engineering.•Conducted research and advanced data analysis on Thermal Contact Resistance (TCR), Thermal Interface Material (TIM), and Shell and Tube Heat Exchanger (STHE), contributing to advancements in thermal engineering

Led the thermal design of shell and tube heat exchangers, implementing HTRI-Xchanger software and adhering to TEMA standards.Developed and applied advanced mathematical models, optimizing heat transfer data and contributing to the efficient design of complex thermal systems.