Welcome to My Projects Page

Explore my hands-on work in AI and Machine Learning, where I tackle real-world challenges with innovative solutions. Each project reflects my ability to design, develop, and deploy intelligent systems that deliver measurable results.

These ongoing projects showcase my expertise in:

• Predictive Analytics: Designing models to forecast outcomes and prevent failures.

• Workforce Optimization: Leveraging AI to improve employee retention and workforce planning.

• Data-Driven Insights: Building applications to analyze and visualize complex datasets for actionable insights.

Every project is a testament to my commitment to using AI to create scalable, impactful solutions. Click on each to explore the technologies used, my process, and the results.

  • Predictive Maintenance System

    Developed an AI-powered machine learning model to forecast equipment failures, achieving a 30% reduction in downtime. This project involved:

    • Comprehensive Data Pipeline: Data collection, preprocessing, and feature engineering.

    • Model Training & Optimization: Leveraged Python, TensorFlow, and Scikit-Learn for model development.

    • Deployment: Implemented the solution in a cloud environment for real-time prediction and monitoring.

    Explore how this system optimizes operational efficiency and prevents costly interruptions.

    • Code Repository: View on GitHub

    • Case Study: Read More

    See It

  • Employee Turnover Prediciton

    Built predictive AI models to analyze workforce trends and forecast employee turnover, enabling 25% improved workforce planning. Key highlights include:

    • Data-Driven Analysis: Preprocessed large datasets using Python, Pandas, and Scikit-Learn.

    • AI Model Development: Utilized classification algorithms to predict turnover risks with high accuracy.

    • Practical Application: Designed insights to support HR strategies for employee retention.

    Discover how this project empowers organizations to make informed workforce decisions.

    • Code Repository: View on GitHub

    • Case Study: Read More

    See It

  • Personal Finance Project

    Created an intelligent application to analyze personal finance data, offering actionable insights on spending patterns and budget optimization. This project includes:

    • Comprehensive Data Insights: Integrated Python, Pandas, and Matplotlib for analysis and visualization.

    • User-Friendly Interface: Built with Flask to provide interactive and intuitive financial dashboards.

    • Actionable Results: Enabled users to identify spending trends and optimize budgets effectively.

    Dive into how this project simplifies personal financial management through AI-driven insights.

    • Code Repository: View on GitHub

    • Case Study: Read More

    See It