AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cardiocare_MachineLearning_for_Healthcare
June 4, 2026 – Present
Heart Disease Prediction System is a machine learning project that predicts the risk of heart disease using patient health data. It uses data preprocessing, feature selection, SVM classification, and the Jellyfish Optimization Algorithm to improve accuracy and support early risk assessment.
View Projectcampusfind
May 29, 2026 – Present
A full-stack Lost & Found Campus Portal developed using the MERN stack (React, Node.js, Express, MongoDB) with JWT authentication, Cloudinary image uploads, role-based admin dashboard and secure claim request management.
View ProjectBookMyEvent
March 4, 2026 – Present
A full-stack Event Registration App built with React and Spring Boot, using PostgreSQL. Users can signup, login, view events, and register for events with data stored in the database.
View ProjectChoco-Sales-Insights
April 14, 2025 – August 11, 2025
Interactive Power BI dashboard analyzing chocolate sales across six countries with monthly trends, revenue insights and top performers.
View ProjectCultural Fit Analysis
The candidate's projects show a breadth of interests, from machine learning to full-stack development and data visualization. This indicates a willingness to explore different technical domains. However, the 'Data Scientist' target role requires a deeper specialization in data science, machine learning, and statistical modeling, which is only partially covered by one project. The lack of professional experience or education details makes it difficult to fully assess cultural fit beyond technical curiosity.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.