Data Scientist, Mechanical Engineer & Building Energy Analyst
Shovan Chowdhury
Bredesen Research Fellow at Oak Ridge National Laboratory
Ph.D. Candidate in Data Science and Engineering
MS in Mechanical Engineering
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.
Shovan contributed to key data releases including data and energy models for 141.5 million U.S. buildings:
New J ; Bass B ; Berres A ; Clinton N ; Adams M ; Li F ; Stubbings A ; Chowdhury S (2021): Model America: Data and Models for every U.S. Building. Southwest Urban Corridor Integrated Field Laboratory (SW-IFL), ESS-DIVE repository. Dataset. doi:10.15485/2283980 accessed via https://data.ess-dive.lbl.gov/datasets/doi:10.15485/2283980 on 2024-03-12
Stubbings, Avery, Li, Fengqi, Chowdhury, Shovan, New, Joshua. (2023). “Model America - Summer 2020 Arizona Building Energy Simulation Results from ORNL's AutoBEM.” ORNL internal Scientific and Technical Information (STI) report. Zenodo: https://zenodo.org/records/10419620, Dec 21, 2023.
Future-weather data from 1980-2100:
SSP5, RCP8.5 - https://zenodo.org/records/10814978
SSP3, RCP7.0 - https://zenodo.org/records/10698922
SSP2, RCP 4.5 - https://zenodo.org/records/10719179
SSP1, RCP2.6 - https://zenodo.org/records/10719205
Model specific version:
SSP5, RCP8.5 - https://zenodo.org/records/10815041 , https://zenodo.org/records/10815135
SSP3, RCP7.0 - https://zenodo.org/records/10729200 , https://zenodo.org/records/10729158
SSP2, RCP 4.5 - https://zenodo.org/records/10729202 , https://zenodo.org/records/10729224
SSP1, RCP2.6 - https://zenodo.org/records/10729278 , https://zenodo.org/records/10729280
Expert data scientist with 5 years of experience in Python, C# and Matlab
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
KEY TECHNICAL SKILLS
Programming Languages: Python, SQL, C, C#, Matlab, Rapid
Library: NumPy, pandas, Scipy, scikit-learn, TensorFlow, Keras, NLTK, Matplotlib, Seaborn
Modeling and Simulation: EnergyPlus, OpenStudio, AutoBEM
Software & Tools: Anaconda, Jupyter Notebook, Git, Shell, RobotStudio, Unity, Latex, Microsoft Office
DBMS: MySQL, MariaDB, phpMyAdmin
CORE COMPETENCES
Data Science
Data Manipulation
Machine Learning
Deep Learning
Natural Language Processing
Software Development
Data Mining
Image Processing
Time Series Analysis
Data Visualization
Statistics & Probability
Augmented Reality
Control System
AutoBEM
Building Simulation
Energy Modeling
Interpersonal Skill
Leadership