Student | Open for opportunities in Bangalore !
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Doctor-Appointment-Booking-System
April 15, 2026 – Present
A high-concurrency backend-driven platform designed to automate clinical scheduling through dynamic availability algorithms and atomic transaction handling.
View ProjectSQL-Bootcamp
April 1, 2026 – Present
Assessments & Resources for Jose Portilla's : The Complete SQL Bootcamp: Go from Zero to Hero on Udemy.
View ProjectEmployee-Attrition-App
February 27, 2026 – Present
A full-stack HR predictive analytics platform using FastAPI and React. It utilizes a weighted XGBoost machine learning model to identify high-risk employee attrition with 70% accuracy, featuring automated CV data extraction via Google Gemini AI and a real-time analytics dashboard.
View ProjectAI-Resume-Builder
January 16, 2026 – Present
Full-stack MERN application that transforms raw career data into recruiter-ready resumes using Google Gemini AI via an OpenAI-compatible integration.
View Projecttheme-toggle-react
January 12, 2026 – Present
React theme toggler with light/dark modes, smooth transitions, persistent settings, and dynamic font & link colors.
View Projectscikit-learn-sandbox
January 11, 2026 – Present
This repository serves as a personal sandbox for learning and practicing machine learning fundamentals using scikit-learn.
View ProjectTesla_Trading_Analysis
January 7, 2026 – Present
This project analyzes Tesla’s historical trading data (Jan 2021 – Jan 2026) to uncover market trends, short-term spikes, volatility, and medium-term momentum. The goal is to provide data-driven, executive-focused insights into performance, risk, and trading patterns.
View ProjectEmployee-Management-System
October 24, 2025 – Present
A full-stack Employee Management System built with Spring Boot, React, and MySQL that enables organizations to manage employee records through a clean, responsive interface.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards personal learning and application of new technologies, which could indicate a proactive and self-driven individual. However, the project diversity leans heavily towards full-stack development and general software engineering, with fewer deep dives into advanced statistical modeling, experimental design, or big data technologies typically expected for a senior Data Scientist. The 'experienceLevel' is 0, which suggests this candidate is not suitable for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and lacks information on collaboration, problem-solving approaches, or communication styles.