Carnegie Mellon '21 // Statistics and Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
point_prediction_analysis
August 19, 2020 – August 19, 2020
point_prediction_analysis — GitHub repository
View Project36350
March 5, 2019 – March 5, 2019
Repo for 36-350 Statistical Computing at Carnegie Mellon
View Projectzomato
November 11, 2018 – December 20, 2018
Graphical Analysis of Restaurant Review Data by Zomato
View Projecttable_games
April 18, 2018 – April 18, 2018
python implementation of blackjack and poker, with sockets and AI
View Projectfacial_recognition
February 13, 2018 – May 8, 2018
facial_recognition — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a breadth of interests, including game development, statistical computing, and machine learning, which could indicate adaptability and a proactive learning attitude. However, the lack of team-based projects or detailed descriptions limits the assessment of collaborative fit. The projects align with a data-driven culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.