Turning data into meaningful insights through analytics, visualization, and machine learning.
👨💻 About Me!!
- 🎓 AI & Data Science Graduate
- 📊 Aspiring Data Analyst passionate about solving real-world business problems using data.
- 💻 Skilled in Python, SQL, HTML, CSS, Java, Pandas, NumPy, and Scikit-learn.
- 📈 Currently learning Power BI, Advanced SQL, and Dashboard Development.
- 🚀 Interested in Data Analytics, Machine Learning, Business Intelligence, and Data Visualization.
- 🌱 Always eager to learn new technologies and build impactful projects.
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AI-powered network intrusion detection using Autoencoder, Random Forest, and Isolation Forest. Tech Stack: 🔗 Repository: |
Interactive Streamlit dashboard for cricket analytics with player comparison, season insights, and venue analysis. Tech Stack: 🔗 Repository: |
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Exploratory Data Analysis of IPL datasets with professional visualizations and key performance insights. Tech Stack: 🔗 Repository: |
Real-time hand sign recognition using computer vision and machine learning. Tech Stack: 🔗 Repository: |
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Desktop weather application providing real-time weather updates with a clean user interface. Tech Stack: 🔗 Repository: |
Machine learning model to predict customer order volume using historical business data. Tech Stack: 🔗 Repository: |
⭐ Thanks for visiting my profile! Feel free to explore my repositories and connect with me.
I enjoy transforming raw data into meaningful insights and building projects that solve real-world problems.