Designed and developed a fully responsive portfolio showcasing projects, skills, and a contact form. Implemented smooth scrolling, animations, and form validation for a better user experience. Deployed using GitHub Pages for easy accessibility.

Designed and developed interactive Power BI dashboards to provide actionable insights for various stakeholders. Utilized advanced DAX formulas and M queries to perform complex data transformations and calculations. Created detailed documentation and provided training sessions to end-users. Worked closely with business analysts, data engineers, and stakeholders to deliver tailored Power BI solutions.

Developed a machine learning model to predict cervical cancer risk using a medical dataset with features like demographics, health records, and risk factors. Performed data cleaning, feature engineering, and exploratory data analysis (EDA) to identify key indicators. Implemented classification models such as Logistic Regression, Random Forest, and SVM, achieving approximately 92% accuracy and 90% recall. The entire workflow was documented in a Google Colaboratory notebook for reproducibility.

Designed and implemented an AI Virtual mouse using Python and image processing techniques. Developed machine learning models for hand detection and gesture recognition, achieving a 90% accuracy rate in predicting cursor movement based on historical patterns. Optimized real-time hand tracking algorithms, reducing latency by 35% and enhancing the responsiveness of the virtual mouse.