Advancing Safer, Smarter Transportation Systems through Data Science, Machine Learning, and AI-Powered Insights.

Technical Skills

Proficient in programming and libraries, including Python (with extensive use of NumPy, pandas, scikit-learn, statsmodels, PyTorch, and TensorFlow), SQL, and MATLAB. Possesses extensive experience in Machine Learning and AI, covering classical algorithms such as Random Forest, Decision Trees, SVM, XGBoost, CatBoost, ARIMA, SARIMA, PCA, and Logistic Regression. Advanced AI expertise includes Object Detection, Transfer Learning, and neural network architectures like CNN, GNN, LSTM, HRNet, ResNet, and YOLOv8.A strong foundation in statistical and analytical methods is demonstrated through skills in Experimental Design, Hypothesis Testing, Time-Series Analysis, Predictive Analytics, and Extreme Value Theory. Competent in Visualization and Reporting using tools such as Tableau, Streamlit, SHAP, Matplotlib, and Seaborn. Additionally, experienced with Cloud and Big Data technologies including PySpark, Neo4j, and Azure Cloud.

Clients

NCHRP, FHWA, PennDOT, FDOT

Work experience

July 2023 -Present

Kittelson and Associates, Inc.

Engineering Associate - Data Science and Analytics in Transportation

August 2022 -May 2023

Arkansas Department of Transportation

Research Engineer

August 2018 - July 2022

The University of Georgia - College of Engineering

Graduate Research Assistant

August 2017 - June 2018

Indian Institute of Technology Guwahati

Research Fellow

Education

2018 - 2022PhD in EngineeringUniversity of Georgia, PhD, Athens, Georgia, US
2015 - 2017Master of Technology in Structural EngineeringIndian Institute of Technology, Guwahati, India
2010 - 2014Bachelors in Civil EngineeringMeghnad Saha Institute of Technology, Kolkata, India

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