Developed a data analysis project called Sales Prediction using a Kaggle dataset with Python, applying techniques to analyze data, extract insights, and build predictive models for outcome prediction.
During my Machine Learning internship, I learned about various ML models and algorithms, including regression, classification, and clustering, and how to apply them to solve real-world problems
AI-driven content analysis tool that enables users to extract insights from news articles and documents. Built with Streamlit, LangChain, and OpenAI, it combines real-time document parsing, semantic search with FAISS, and natural language understanding to deliver fast, accurate, and source-backed responses.
This project analyzes how well a resume aligns with a given job description. Leveraging natural language processing (NLP), semantic embeddings, and dynamic keyword extraction, it simulates the behavior of modern ATS platforms to deliver a comprehensive match score.
This application was built on Flask web framework,which utilizes AI-driven machine learning algorithms to accurately identify and assess vehicle damages. This project streamlines the inspection process for enhanced efficiency and user experience.
Developed a Python-based sales forecasting model using machine learning and statistical techniques to predict future sales, informing business decisions on inventory, pricing, and resources
A role-based web application built with Flask and MySQL that enables employees to submit tickets and responders to manage, update, and complete service requests. The system includes dashboards, login/register functionality, ticket status tracking, and location/address-based ticket creation.
AI-powered Fertilizer Recommendation System utilize Machine learning algorithms and data analysis to analyzes soil characteristics, crop type, and weather conditions to provide personalized fertilizer suggestions.
This interactive Tableau dashboard provides insights on data science salaries, helping professionals, employers, and educators make informed decisions on salary and career development
This Tableau project visualizes economic indicators across countries, offering insights into GDP, inflation, and more, to inform decision-making and economic understanding
This is a Power BI project focused on sales analysis across multiple countries, providing key insights into revenue and profit trends. It showcases how data visualization can drive business decisions and optimize sales strategies
As a data enthusiast and analyst with a passion for unlocking insights and driving growth through data-driven solutions. With expertise in data analysis, interpretation, and machine learning, I help businesses inform decision-making, fuel innovation, and stay ahead of the curve.
