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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Weather-Analysis
September 12, 2024 – September 18, 2024
Developing a Django application that fetches real-time weather data from a public API, processes the data, and provides insights and displays an alert if it's extreme
View ProjectData-Visualization-Python
January 19, 2018 – January 19, 2018
Data-Visualization-Python — GitHub repository
View ProjectAttrition_Prediction
December 16, 2017 – February 3, 2018
Employee turnover (attrition) is a major cost to an organization, and predicting turnover is at the forefront of needs of Human Resources (HR) in many organizations. Until now the mainstream approach has been to use logistic regression or survival curves to model employee attrition. However, with advancements in machine learning (ML), we can now get both better predictive performance and better explanations of what critical features are linked to employee attrition. In this post, we’ll use two cutting edge techniques.
View ProjectData-Analysis
August 28, 2017 – December 16, 2017
The objective is to collect financials from the CDS table in N-Q, and N-CSR reports of SEC/EDGAR database servers.
View ProjectCultural Fit Analysis
The candidate shows a diverse interest in various technologies (R, Python, JavaScript, C++, HTML, CSS, Shell) and project types (data analysis, web development). This breadth could indicate adaptability and a willingness to learn, which are positive for cultural fit. However, the projects are all personal and lack team collaboration context, making a definitive assessment challenging. The target role is 'Data Scientist', and while some projects align, others are more general web development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric or English test results available.