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University of Maryland
Data Scientist
June 26, 2026 – Present
glory
October 20, 2023 – July 8, 2024
The GLObal Reservoir Yield (GLORY) model identifies reservoir storage capacity - yield - cost relationships and provides renewable water cost curves for GCAM
View Projectchowdhury-etal_2023_hydropower
June 5, 2023 – March 7, 2024
Future Hydropower Expansion in Eco-Sensitive River Basins under Global Energy-Economic Change
View Projectwild-etal_2021
May 6, 2021 – April 7, 2023
Publication Meta-Repository for "Informing Integrated Energy-Water- Land Planning in Colombia"
View Projectgcamextractor
April 16, 2021 – September 5, 2023
R package to extract and process GCAM data and manipulate into standardized tables.
View Projectrmap
November 27, 2020 – November 26, 2023
Mapping software with pre-loaded global and local maps
View Projectpysedsim
March 4, 2019 – July 22, 2020
An Open Source Reservoir and Sediment Simulation Screening Framework for Identifying and Evaluating Dam Siting, Design, and Operation Alternatives
View Projectmetis
January 1, 2019 – April 4, 2021
Webpage: https://jgcri.github.io/metis/ Cheatsheet: https://github.com/JGCRI/metis/blob/master/metisCheatsheet.pdf
View ProjectSedSim
November 14, 2018 – July 23, 2019
A river basin simulation model for sediment, water, and hydropower
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in environmental science and hydrological modeling, indicating a strong niche focus. While this demonstrates depth, it suggests a potentially narrow scope for broader data science applications. The current role as 'Data Scientist' at the University of Maryland aligns with the target role, but the experience level is listed as 0, which contradicts the ongoing employment. This discrepancy makes it difficult to fully assess cultural fit and career trajectory.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.