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BASF
Data Scientist
June 27, 2026 – Present
autoadsorbate
January 24, 2025 – Present
Chemical intuition for surface science in a package.
View Projectmlipx-hub
December 4, 2024 – July 25, 2025
The home of mlipx recipes and result data that can be updated by community members with new models and testing protocols. This repo can then be used with remote zndraw portal for quick visualization and analysis.
View Projectmlipx
October 18, 2024 – Present
Machine-Learned Interatomic Potential eXploration (mlipx) is designed at BASF for evaluating machine-learned interatomic potentials (MLIPs). It offers a growing set of evaluation methods alongside powerful visualization and comparison tools.
View Projectalchemical-learning
December 2, 2021 – April 24, 2023
alchemical-learning — GitHub repository
View Projectunsupervised-ml
October 8, 2021 – July 22, 2024
This git repository will serve as a companion to a forthcoming chapter in "Quantum Chemistry in the Age of Machine Learning"
View ProjectAlexa-coinflip
April 13, 2020 – April 13, 2020
A fun experiment with Alexa using speech recognition to do statistical analysis on the Alexa's in built coin flip probability
View ProjectInteractive-Sketchmap-Visualizer
June 11, 2017 – November 14, 2019
The code to generate Interactive visualizer of atomic structure database using bokeh and tornado server
View ProjectMCpermanent
October 16, 2015 – October 16, 2015
A python module written in C++ to compute the permanent of a numpy matrix upto given accuracy using random Monte Carlo method.
View ProjectHungarian-Murty
September 17, 2015 – September 17, 2015
Implementation of Murty's 1968 algorithm to find k best costs of a given assignment matrix (http://pubsonline.informs.org/doi/abs/10.1287/opre.16.3.682)
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards scientific computing and machine learning, particularly in materials science/chemistry. This specialization suggests a good fit for roles requiring deep technical expertise in these areas. However, the projects are predominantly personal and academic, with limited evidence of collaborative, large-scale enterprise data science initiatives. The single professional experience entry is current but lacks detail on responsibilities and achievements, making it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.