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Assessing your cultural and operational fit
bayes-at-scale
November 17, 2023 – December 1, 2023
Cloud and GPU-accelerated probabilistic modeling for national- and global-level datasets
View Projecttvp-gr4j
March 24, 2022 – September 4, 2022
Time-varying parameter variant of hydrology model GR4J for MCMC in NumPyro & PyMC
View Projectmbds-cee-690
September 11, 2019 – November 21, 2019
Course materials and notes for CEE 690: Model Based Data Science (Fall, 2019)
View Projectlidisa
May 20, 2019 – November 4, 2019
Lightweight implementation of geostatistical direct sampling in Python
View Projectgr4j_theano
March 12, 2018 – March 19, 2018
Autodiff-enabled hydrology modeling via Theano
View Projectbayesian_forecasting
November 16, 2017 – April 12, 2022
Bayesian filtering and prediction for dynamic linear models
View ProjectCultural Fit Analysis
The candidate's projects show a strong independent learning and research orientation, which could be a good fit for roles requiring self-driven problem-solving. However, the lack of team projects or professional experience makes it difficult to assess collaboration or broader cultural fit. The projects are highly specialized in Bayesian modeling, which aligns well with a Data Scientist role but might indicate a narrower focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.