Data Science & Machine Learning: Advanced proficiency in Python, R, SQL, Statistical Analysis, Machine Learning, Deep Learning, Time-Series Analysis, Spatial Statistics, Scikit-Learn, TensorFlow, Keras, OpenCV, MLflow, GeoPandas, Jupyter Notebook, Dataiku, DeepNote.

Data Analytics & Business Intelligence: Tableau, Power BI, Matplotlib, Seaborn, ggplot2, Postgres, PostGIS, Oracle SQL, geodatabases, ETL (Data Transformation, Data Validation).

Geospatial Technology: GIS Software (ArcGIS Pro, QGIS, ERDAS Imagine), Geospatial Libraries (GeoPandas, Shapely, Rasterio, ArcPy, PyQGIS, GDAL), Remote Sensing (Satellite Imagery Analysis, Raster Data Processing).

Engineering: Python Scripting, AutoCAD, Project Cost Estimation, Project Management, Agile Methodologies.

Skillset

Principal Data Analyst
FINRA | Atlanta, GA

Sep 2022 - Present

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

Apr 2019 - Aug 2022

Graduate Teaching & Research Assistant
Mississippi State University | Starkville, MS

Jan 2016 - May 2018

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

Apr 2014 - Dec 2015

Civil Engineer
Swiss Agency for Development and Cooperation | Kathmandu, Nepal

Sep 2013 - Mar 2014

Employment History

Research Publication

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