Machine Learning Enthusiast
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Assessing your cultural and operational fit
Python-DeepLearning
November 15, 2021 – November 17, 2021
Jupyter Notebooks of Neural Networks used on several Datasets.
View ProjectHacktoberfest2021
October 21, 2021 – November 2, 2021
This repository contains all the succesfull Pull Requests created for Hacktoberfest 2021.
View ProjectLawofLargeNumbers
October 9, 2021 – October 13, 2021
LawofLargeNumbers — GitHub repository
View ProjectGCP-Exploring-the-Public-Cryptocurrency-Datasets-Available-in-BigQuery
September 14, 2021 – September 14, 2021
GCP-Exploring-the-Public-Cryptocurrency-Datasets-Available-in-BigQuery — GitHub repository
View ProjectBeginners-Guide-To-Create-PySpark-DataFrame
September 11, 2021 – September 17, 2021
Beginners-Guide-To-Create-PySpark-DataFrame — GitHub repository
View ProjectPySpark-Fundamentals
September 7, 2021 – September 7, 2021
PySpark-Fundamentals — GitHub repository
View ProjectPython-FacetGridMethods
August 4, 2021 – August 21, 2021
Python-FacetGridMethods — GitHub repository
View ProjectPython-Regularization
July 30, 2021 – August 1, 2021
Python-Regularization — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards self-learning and open-source contributions (Hacktoberfest). The diversity of Python-based data science projects suggests a proactive and curious mindset, which aligns well with a culture of continuous improvement and innovation. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.