AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Trader-Performance-vs-Market-Sentiment
April 16, 2026 – Present
Trader-Performance-vs-Market-Sentiment — GitHub repository
View ProjectBeyondTheMarks
February 25, 2025 – September 26, 2025
Built a pipeline using stats + SHAP to detect grading bias and evaluate teacher impact via attendance and marks data. Identified sensitive attribute influence (e.g., gender/religion) on student performance using explainable AI.
View ProjectAttedance-For-Impact
January 17, 2025 – Present
Built a tool to correlate subject-wise attendance with theory/practical marks using skewness, IQR, standard deviation, and mean-median analysis. Explains underlying trends and recommends improvements through visualizations and per-subject diagnostics.
View ProjectCS50-Python-Notes
December 19, 2024 – December 19, 2024
CS50-Python-Notes — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a diverse interest in both frontend development (HTML, CSS, JavaScript) and data science/machine learning (Python). While the target role is 'Frontend Developer', a significant portion of projects are Python-based, indicating a broad technical curiosity. This diversity could be a strength for cross-functional collaboration, but also suggests a potential need to focus on frontend-specific skills for the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.