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Warner Bros. Discovery
Data Scientist
June 17, 2026 – Present
flask-blog-postgres
January 16, 2024 – January 16, 2024
flask-blog-postgres — GitHub repository
View Projectubiquitous-octo-tribble
May 3, 2021 – May 3, 2021
ubiquitous-octo-tribble — GitHub repository
View Projectbank-statement-analysis
June 3, 2019 – February 13, 2024
Bank statement analysis for detecting fraudulent transactions/money laundering
View Projectschools
November 26, 2018 – March 25, 2019
A quiz-taking system for students and teachers
View ProjectNatural-language-processing
February 25, 2018 – March 11, 2018
An NLP model for classifying a set of reviews into positive (1) or negative categories using Naive-Bayes classifier
View ProjectAssociative-rule-learning
February 18, 2018 – February 24, 2018
Simple apriori and eclat models in python and R
View ProjectVisual-linear-regression
January 13, 2018 – June 10, 2021
Visual linear regression using tensorflow js
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. However, the projects are primarily academic/exploratory, and there is no information on team collaboration or professional work ethic. The listed experience level of 0, despite a current Data Scientist role, makes it difficult to accurately assess cultural fit in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, but they have a current Data Scientist role at Warner Bros. Discovery, which is contradictory. Project descriptions are brief and do not provide insight into collaboration or problem-solving approaches.