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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Credit-Risk-Analysis-using-Tree-Based-Models-in-R
May 1, 2018 – May 3, 2018
Credit Risk Analysis using Tree Based Classification Models in R - Decision Tree, Bagging, Random Forests, Gradient Boosting Models
View ProjectSentiment-Analysis-of-Airbnb-Cutomer-Reviews
December 6, 2017 – December 6, 2017
Sentiment Analysis of Airbnb Cutomer Reviews in R
View ProjectCredit-Risk-Analysis-in-R
November 25, 2017 – December 5, 2017
Credit Risk Analysis in R using Decision Trees, LDA, Logistic Regression and Random Forests
View ProjectSentiment-Analysis-of-Employee-Reviews
September 7, 2017 – December 6, 2017
Sentiment Analysis of Employee Reviews of 2 Companies in R
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on data science and machine learning, which aligns with the target role. However, the projects are all personal and lack diversity in terms of team collaboration or real-world business impact. The technology stack is heavily skewed towards R, with limited exposure to other common data science tools and platforms, which might indicate a narrow technical comfort zone. The absence of professional experience or education makes it difficult to assess cultural fit beyond project alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.