Kshitij Chawla
Data ScientistMember since June 23, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
nih-cxr-ai
December 5, 2024 – December 21, 2024
A PyTorch Lightning implementation for multi-label chest X-ray disease classification using the NIH dataset
View ProjectNeuroLang
January 9, 2018 – Present
Neurolang enables the analysis of NeuroImaging data through probabilistic logic programming. It seamlessly allow to combine, images, databases, and ontologies within a single framework.
View Projectread_dicom
September 11, 2017 – September 11, 2017
module to read DICOM file headers and generate a BIDS JSON with selected and additional fields
View Projectinterview_prep
August 17, 2017 – December 21, 2016
These are my notes and pseudo/unfinished code for technical interviews. Uses TSiege's helpful tech interview gist guide and Cracking the Coding Interview
View Projectunited-states-of-browsers
July 5, 2017 – February 15, 2023
A project to combine & organize history and bookmarks across multiple browsers and browser profiles.
View Projectnilearn_sandbox
July 21, 2015 – January 15, 2025
Playground for nilearn compatible features.
View Projectnistats
May 13, 2015 – April 2, 2020
Modeling and statistical inference on fMRI data in Python
View Projectnilearn.github.io
June 8, 2013 – Present
Web page for Nilearn: NeuroImaging with scikit-learn.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and research-oriented, focusing heavily on neuroimaging and data science. This indicates a strong passion for the field and self-driven learning. However, the lack of team-based or industry projects makes it difficult to assess collaboration style or adaptability to diverse team environments. The breadth of technologies used (Python, JavaScript, HTML, CSS, Shell, Jupyter Notebook, TeX, Makefile) suggests a versatile individual, but the focus is very specific to scientific computing and web presentation for scientific projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear and concise, but no direct assessment of communication, teamwork, or problem-solving in a collaborative setting is available.