AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
No-Churn-Telecom-Category-Telecom-Churn-Rate-ML
June 9, 2026 – Present
No-Churn-Telecom-Category-Telecom-Churn-Rate-ML — GitHub repository
View ProjectNiranjan-Shinde-Portfolio
March 25, 2026 – Present
Niranjan-Shinde-Portfolio — GitHub repository
View ProjectSkin-disease-prediction
March 23, 2026 – Present
Skin disease classification using SVM (97.3% accuracy) on UCI Dermatology dataset — Flask REST API + Streamlit web app + Docker
View ProjectHome-Loan-Default-Prediction
March 5, 2026 – Present
Home-Loan-Default-Prediction — GitHub repository
View Projecthouse-price-prediction-advanced-ml
March 1, 2026 – Present
house-price-prediction-advanced-ml — GitHub repository
View Projectstudent-performance-salary-analysis
December 16, 2025 – Present
student-performance-salary-analysis — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on data science and machine learning, which aligns well with a Data Scientist role. The diversity of projects (telecom churn, skin disease prediction, home loan default, house price prediction) indicates a broad interest in applying ML to different domains. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.