
Code π» β Product π β Users π₯
AI is analyzing your overall scoreβ¦
Identifying your key strengthsβ¦
Evaluating your skill match against the job requirementsβ¦
Assessing your cultural and operational fit
learning-and-experiments
March 29, 2026 β Present
learning-and-experiments β GitHub repository
View ProjectHeart_Attack_Prediction
January 6, 2026 β Present
This project use Logistic Regression to predict the risk of heart disease based on clinical features from the UCI Cleveland Heart Disease dataset. Exploratory Data Analysis (EDA) and visualization techniques are applied to understand feature distributions, class imbalance, and correlations, followed by model evaluation using metrics such as ROCβAUC
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects and learning, as evidenced by numerous GitHub repositories. The diversity of technologies used (Python, JavaScript, Java, HTML, CSS) suggests a broad interest in development, which could be a good fit for a dynamic environment. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit. The projects are primarily individual contributions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available.