Developed a machine learning model to predict the likelihood of disease occurrence based on patient data.Objective: To accurately predict diseases such as diabetes, heart disease, or cancer using historical patient data.Technologies: Python, Scikit-Learn, Pandas, NumPy, Jupyter NotebookData: Utilized datasets from sources like UCI Machine Learning Repository, Kaggle, or electronic health records (EHRs)

Developed a comprehensive Employee Management System using Python to automate and streamline HR processes.Objective : The system aims to improve efficiency, reduce administrative overhead, and provide accurate and up-to-date information for decision-making.Technologies: Python,SqLite,PandasData : Employee Information, Attendence Records, Payroll Data, Performance Evaluations, Department Information,User Rolls and Permission

Developed a web scraping tool to extract detailed product information from Amazon, utilizing Python and Beautiful Soup.Objective: The project aimed to automate the collection of data such as product titles, prices, ratings, and reviews for market analysis and competitive intelligenceTechnologies: Python, Beautiful Soup, Requests, Pandas, Jupyter NotebookData: Product Titles, Prices, Ratings, Reviews, Product Details