Hi,
I am a budding researcher in the area of data science, statistical computing, and machine learning with a background in computational fluid-thermal science. I am currently working with Dr. Pitchumani at Virginia Tech to develop a physics-informed machine learning tool for probabilistic solar forecasting and to integrate that into power system operation and planning. In the long run, I yearn to spearhead the revolution of AI/ML to disrupt the energy and the automotive sectors and to provide a feasible AI-human interface in those sectors.
Skills:
Language: Python, Matlab, R, SQL
ML and Data Analysis Libraries & Framework: Numpy, Panda, Scikit-Learn, Matplotlib, Plotly, Keras, Pytorch
Machine Learning skills: Clustering, Time-Series Forecasting, Ensemble methods, Decision Trees, Uncertainty Quantification, Bayesian Inference, Classification, Predictive modeling, PCA, SVM
CFD solver & Tools: Fluent, CFX, ICEM-CFD, Turbogrid, CFD post
CAD modeling: Siemens NX, Solidworks
Operating System: Windows, Linux
Misc. : Latex, Git version control, HPC computing, Working with Big Data, MS Word, MS Excel, Mathcad, Maple,
Professional website: https://sbhavsar0.wixsite.com/mysite