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I am a Senior Principal ML scientist at Pfizer. Previously developed libraries at UC Berkeley and SUNY Buffalo.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Pfizer
Data Scientist
June 19, 2026 – Present
academicpages.github.io
March 7, 2022 – March 3, 2022
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
View ProjectH2COMBUSTION_DATA
August 31, 2021 – September 7, 2021
DFT data for the hydrogen combustion reaction obtained at the level of wB97X-V/cc-pVTZ level. The data consists of energies and atomic force vectors of all 19 reaction channels involved in the combustion reaction. For reaction channel 6 two spin state calculations performed triplet and singlet states, named as 06a and 06b. Similarly, reaction channel 12 has two spin states doublet and quartet states assigned as d and q. Resultant minimum energy path for reaction 12 by choosing minimum energy between the two states is also provided with using name 12.
View ProjectX-EISD
November 21, 2019 – June 10, 2025
X-EISD – Extended Experimental Inferential Structure Determination
View ProjectCSpred
September 18, 2019 – Present
UCBShift is a program for predicting chemical shifts for backbone atoms and β-carbon of a protein in solution. It utilizes a machine learning module that makes predictions from features extracted from the 3D structures of the proteins.
View Projectoop_design_pattern
August 1, 2018 – August 1, 2018
Object Oriented Programing in Python 3 and design patterns
View Projectchemlg
April 20, 2018 – October 16, 2020
ChemLG is a smart and massive parallel molecular library generator for chemical and materials sciences.
View ProjectML_tutorial
March 1, 2018 – July 31, 2019
An introduction to machine learning in Python using ChemML, Numpy, Pandas, and Scikit-learn.
View Projectchemml
December 7, 2017 – Present
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal, academic, and research-oriented projects, primarily in computational chemistry and materials science. While this demonstrates deep technical interest and initiative, the diversity of projects outside this niche is limited. The current role at Pfizer as a Data Scientist aligns with the target role, but without further details on responsibilities or team involvement, it's difficult to fully assess cultural fit beyond a strong technical alignment with data science principles. The lack of diverse project types or explicit team-based work descriptions limits the assessment of broader cultural adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects suggest a strong independent work ethic and interest in complex problem-solving, but team collaboration, communication, and stress handling cannot be evaluated without specific assessment data or detailed project descriptions.