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AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
aws-mlops
May 26, 2025 – May 31, 2025
An AWS based API deploying infrastructure and services for common ML/AI tasks
View ProjectSquadQuest
June 10, 2024 – Present
Bring your social circle to life with SquadQuest: the free, privacy-first app for planning real-world hangouts.
View Projectcommon-equations
March 1, 2017 – March 3, 2017
A repo to hold common equations written in Latex
View Projectleaflet_examples
June 14, 2016 – June 22, 2016
Leaflet map examples for web, R, and Python
View ProjectPhiladelphia-Crime-Visualizations
September 30, 2015 – October 15, 2015
R Shiny App for visualizing Philadelphia Crime Data
View Projectknn-dashboard-shiny-plotly
April 21, 2015 – April 21, 2015
knn dashboard using Shiny and Plotly for UCI heart disease repository (https://archive.ics.uci.edu/ml/datasets/Heart+Disease)
View Projectdriver-telematics-analysis-continued
February 23, 2015 – March 2, 2015
driver telematics analysis for kaggle competition containing all processing performed after February 20, 2015.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science, machine learning, and web development. The diversity of projects, from data visualization to MLOps, suggests a proactive and curious individual. The 'SquadQuest' project also indicates an interest in building user-facing applications. This aligns well with a culture that values continuous learning and initiative, especially for a Data Scientist role where problem-solving and experimentation are key.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.