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Computer Science graduate | MCA student | Python, Java, SQL | Passionate about building real-world tech solutions through data science, development, and design.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
GoldSilver-Forecast-ML-project
March 11, 2026 – Present
GoldSilver-Forecast-ML-project — GitHub repository
View ProjectLuminex-Stock-Market-Portfolio-Analyzer-with-Prediction
March 9, 2026 – Present
Luminex is a full-stack financial analytics platform designed to help users track, analyze, and predict stock market performance. The application allows users to build and monitor investment portfolios, compare stocks, visualize market data, and run machine learning models to forecast future price movements.
View ProjectLoanSense-AI-Credit-Engine
March 4, 2026 – Present
AI Powered Loan Approval Prediction using Logistic Regression
View ProjectTiffin-service-management
February 26, 2026 – Present
Full Stack Tiffin Service SaaS built with Django REST, React, JWT, and Tailwind.
View ProjectDating-Application
August 5, 2025 – August 5, 2025
A modern dating application built in Android Studio using Java and Kotlin. It features real-time chat, location-based suggestions, and AI-powered matchmaking—focused on user privacy, authenticity, and meaningful connections.
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, covering mobile development, web development, and machine learning. This breadth of interest aligns well with a Computer Science Lecturer role, where exposure to various domains is valuable for teaching. The projects are primarily personal, indicating a proactive learning approach. The target role 'Computer Science Lecturer' aligns with the candidate's demonstrated interest in applying and explaining technical concepts through projects.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse technical challenges. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration. The focus on personal projects indicates self-motivation and initiative.