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Assessing your cultural and operational fit
Python-Machine-Learning-Projects
August 26, 2020 – August 26, 2020
Machine Learning Projects
View ProjectHealthcare_NIDDK
June 1, 2020 – June 1, 2020
NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases) research creates knowledge about and treatments for the most chronic, costly, and consequential diseases.The dataset used in this project is originally from NIDDK. The objective is to predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset.Build a model to accurately predict whether the patients in the dataset have diabetes or not.
View ProjectTableau-Projects
February 12, 2020 – February 12, 2020
Tableau-Projects — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show an interest in data science and machine learning, which aligns with an Artificial Intelligence role. However, the projects are primarily personal and lack detailed descriptions of collaboration or team-based work. The diversity of projects (Flutter, Tableau, web scraping) indicates a broad interest but also a potential lack of deep specialization in AI/ML. The absence of professional experience or education details makes it difficult to fully assess cultural fit within a professional AI team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.