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Python developer, Full-Stack - Data Science and Machine learning /
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
neetcode-submissions-w3p9d40j
March 30, 2026 – Present
My NeetCode.io problem submissions
View ProjectDjango-API-Book
December 28, 2023 – December 28, 2023
A practice book API using Django REST API framework
View ProjectDjango_React_Template
December 20, 2023 – December 20, 2023
A template repository with Django and React set up and good to go.
View ProjectBetterPython-Notes
May 5, 2023 – May 5, 2023
My personal Python <= 3.11 notes on writing better codes in Python.
View Projectreact-flask-template-test
March 22, 2023 – March 22, 2023
react-flask-template-test — GitHub repository
View ProjectOpenAI_app
February 14, 2023 – February 14, 2023
testing OpenAI API and implementing the API into functions
View ProjectALS-and-Bayesian-item-recommendation-system
February 4, 2021 – March 11, 2022
A ML implicit item recommendation system using ALS(Alternating Least Squares) matrix factorization and Bayesian method algorithms.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a self-driven learning approach. The diversity of projects, including web development (Django, React) alongside ML, suggests a broad interest, but also a potential lack of deep specialization in Data Science specifically. The target role is 'Data Scientist', but many projects are general software development. This indicates a moderate fit, as the candidate shows initiative but needs to focus more on data science specific projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.