CSE student | DSA & problem solving | AI/ML enthusiast | Data Analyst | Building real-world projects
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AI-agent-from-scratch-LangChain-Streamlit
April 12, 2026 – Present
This project is a multi-functional AI Agent built using LangChain and Google Gemini API. It is capable of answering user queries, performing web searches, fetching news, retrieving weather information, and displaying YouTube videos — all through a simple chat interface.
View Projectai-agent-api-fastapi-ollama
April 10, 2026 – Present
A production-style AI backend built using FastAPI and Ollama that supports multi-turn conversations, API key authentication, and credit-based usage control.
View Projectai-voice-agent-hospital-booking
April 2, 2026 – Present
Smart AI voice assistant for hospital appointment booking using Vapi, FastAPI, and ngrok. Enables real-time scheduling, cancellation, and seamless API integration.
View ProjectInsurance-Prediction-Premium
March 29, 2026 – Present
This project is a Machine Learning–based web application that predicts the insurance premium category of a user based on various personal and lifestyle factors. It integrates a trained ML model with a FastAPI backend and a Streamlit frontend for an interactive user experience.
View ProjectPatient-Management-System
March 20, 2026 – Present
Developed a scalable Patient Management System using FastAPI, supporting CRUD operations, data validation with Pydantic, and real-time BMI computation.
View ProjectBlinkit-Business-Intelligence-Dashboard-using-Power-BI
March 10, 2026 – Present
Power BI dashboard analyzing Blinkit retail data to uncover insights on sales performance, product categories, outlet types, and customer trends. Provides interactive visualizations to support data-driven decision making in quick commerce
View ProjectBuilding-an-Interactive-Dashboard-with-AI-Support
March 5, 2026 – Present
Building-an-Interactive-Dashboard-with-AI-Support — GitHub repository
View ProjectComparative-Analysis-of-ML-models-for-Heart-Disease-Prediction
March 5, 2026 – Present
A Machine Learning project that trains and evaluates multiple classification algorithms(Logistics Regression, KNN, SVM, Random Forest, Decision Tree, Naive Bayes) to predict heart disease using clinical data with Python and Scikit-learn
View ProjectIntelligent-Sales-Analytics-Forecasting-Dashboard
March 5, 2026 – Present
A data analytics project that analyzes historical sales data, identifies business trends, and predicts future sales using ML models. Built with Python, Pandas, Matplotlib, and Scikit Learn
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in AI and data science through numerous personal projects. The diversity of projects, from AI agents to predictive models and dashboards, suggests a curious and self-driven individual. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative environment. The candidate's experience level is 0, which might indicate a need for mentorship and integration into a professional team culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying new technologies.