Data Science: Advanced proficiency in Python, statistical analysis, machine learning, and deep learning libraries, Python Geospatial libraries. Scikit-Learn, OpenCV, TensorFlow, Keras, GeoPandas, Shapely, Rasterio, ArcPy, Jupyter Notebook, Dataiku.

Data Analytics & Visualization: Expertise in Tableau, Power BI, Python viz. library - Matplotlib, Seaborn, ggplot2.

Geospatial Technology: GIS, Remote sensing, ArcGIS Pro, SeaDAS, Oracle SQL Developer. Python spatial libraries.

Civil Engineering: AutoCAD, Project cost estimation, structural drawing, hydraulic modeling. Project management.

Skillset

FINRA
Data Scientist

Sep 2022 - Present

Geosystems Research Institute
Research Consultant (Part-time)

Feb 2022 - Dec 2023

Norfolk Southern Corp.
Sr. Geospatial Data Analyst | Atlanta, GA

Apr 2019 - Aug 2022

Department of Geosciences, MSSTATE Graduate Teaching Assistant | MS, USA

Jan 2016 - May 2018

ISTEM Lab. Pvt. Ltd.
Geospatial Data Analyst
Kathmandu, Nepal

Apr 2014 - Dec 2015

Swiss Agency for Development and Cooperation
Civil Engineer | Nepal

Sep 2013 - Mar 2014

Employment History

Research Publication

Evaluating the Impact of Invasive Species on Water Quality through Machine Learning Models – (Research completed, Current in writing)

Adopting Machine Learning Unsupervised classification techniques for Spatial Water Quality data (Research completed, Current in writing) - GitHub Project URL

A geographic weighted regression (GWR) approach for improved total alkalinity estimates in the Northern Gulf of Mexico - Journal Publication Url

Education

DataCamp
Machine Learning Scientist using Python

Mississippi State University, MS, US
Master of Science in Geospatial Data Science

Cornell University, NY, US
Satellite Remote Sensing using Python

National Institute of Technology, India
Bachelor in Civil Engineering