Machine Learning Engineer | AI Enthusiast

• 📚 Mastering MLOps and model deployment
• 🏗️ Learning cloud platforms and data warehousing
• 💡 Building end-to-end ML projects with real-world applications
• 🚀 Seeking opportunities as ML Engineer or AI Research roles

• Master of Computer Applications (MCA) - Lakshmi Narain College of Technology, Bhopal | 2025-2027
• Bachelor's Degree in Computer Science - University of Delhi | 2025
• 🎯 Goal: Preparing for GATE .

"Turning data into insights, building intelligent solutions" — Pradeep

• 🔭 Currently exploring Advanced ML techniques and MLOps
• 🎓 MCA Student at Lakshmi Narain College of Technology, Bhopal
• 🤖 Aspiring ML Engineer focused on production-ready AI systems
• 👯 Open to collaborating on AI/ML projects and open-source
• 📫 Reach me: [email protected]
• ⚡ Fun fact: My models don't always converge, but when they do, the accuracy is surprisingly good! 🤖

Comprehensive customer analytics platform with ML-driven insights for e-commerce businesses.

• Tech Stack: Python, Streamlit, Pandas, Scikit-learn, Matplotlib
• Features: Customer churn prediction, lifetime value analysis, segmentation with K-means
• Highlights: Interactive dashboard, automated data processing pipeline, actionable business insights

Real-time football transfer data analysis platform with agent performance tracking.

• Tech Stack: Python, Dash, Plotly, BeautifulSoup, SQLite, Pandas
• Features: Web scraping from Transfermarkt, agent network visualization, transfer value analytics
• Highlights: Real-time data pipeline, interactive network graphs, comprehensive transfer insights

Machine learning model for predicting gold prices using historical financial data.

• Tech Stack: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
• Features: Time series analysis, feature engineering, multiple ML algorithms comparison
• Highlights: 2,200+ days of historical data analysis, model performance optimization