Bio
Shovan Chowdhury is a data scientist with expertise in mechanical and energy engineering. He holds a position as a Research Fellow in the Grid-Interactive Controls group at the Building Technologies Research and Integration Center (BTRIC) of Oak Ridge National Laboratory. Prior to this role, he earned a master’s degree in Mechanical Engineering from Idaho State University. At ORNL, Shovan focuses on large-scale building energy modeling and simulation using the AutoBEM software suite. His current projects involve the development of the AutoBEM software suite and the Model America dataset. He specializes in handling big data and implementing machine learning techniques for building energy modeling. Additionally, he has developed future typical meteorological year (fTMY) files for every Shared Socioeconomic Pathway (SSP) and Representative Concentration Pathway (RCP) scenario for each county in the United States.
Professional Experience
Graduate Research Fellow 08/2022 – Current
Bredesen Centre for Interdisciplinary Research & Graduate Education, The University of Tennessee | Knoxville (subcontracted to Oak Ridge National Laboratory, TN)
Data Science Intern 05/2022 – 08/2022
Idaho National Laboratory | Idaho, USA
Graduate Research Assistant 01/2019 – 05/2022
Idaho State University | Idaho, USA
Assistant Manager 01/2016 – 12/2018
Pacific Jeans Limited | Chittagong, Bangladesh
Awards
- Bredesen Fellowship awarded by the University of Tennessee
- Best Poster Award at Symposium at Idaho State University
Education
- Ph.D. in Data Science and Engineering, The University of Tennessee, Knoxville, USA (estimated graduation date: Summer 2025)
- MS in Mechanical Engineering, Idaho State University, USA, 2022
- B.Sc. in Mechanical Engineering, Chittagong University of Engineering and Technology, 2015
Professional Affiliations
- American Society of Heating Refrigeration and Air-Conditioning Engineers (ASHRAE)
- International Building Performance Simulation Association (IBPSA)
- Institute of Electrical and Electronics Engineers (IEEE)
Specialized Equipment
Expert Software Developer with 5 years of experience in Python
Proficient in statistical modeling, classification, regression, clustering and dimensionality reduction
Experienced in working with relational databases (MySQL, MariaDB, phpMyAdmin)
Competent with Natural Language Processing, data mining, Deep Learning toolkits (TensorFlow, Keras)
Skilled with augmented reality technologies such as Unity, HoloLens etc.
Solid background in Statistics, Probability, Linear Algebra and Algorithms