• 🔭 I’m currently working on: Real-world projects in Machine Learning, Exploratory Data Analysis (EDA), and Generative AI
• 🌱 Constantly learning: Python, Large Language Models (LLMs), Hugging Face, Prompt Engineering, Power BI
• 🧠 Passionate about: Creating data-driven solutions that enhance decision-making and solve impactful problems
• 🧩 Hands-on with interactive dashboards, data cleaning pipelines, and predictive models

A comprehensive pipeline analyzing behavior of over 10,000 users to identify churn patterns.

• 🧹 Handled 30% missing values, removed outliers, and applied scaling techniques
• 🔍 Developed predictive models achieving 85% precision and 88% recall
• 🎯 Enhanced customer engagement by 45% through targeted strategies

Extracted and analyzed medical data using BeautifulSoup and Selenium

• 📌 Cleaned and processed over 50,000 records
• 📍 Identified three underserved areas using predictive analytics
• 📈 Provided insights to optimize healthcare resource planning

Designed and optimized SQL queries for managing 500+ books and 100+ users

• ⚡ Reduced query response time by 50%
• 🔁 Implemented real-time tracking for overdue records
• 📊 Analyzed borrowing patterns to improve resource allocation

Developed interactive dashboards showcasing climate insights

• ☁️ Detected 50% rainfall variance across districts
• 🧠 Delivered actionable insights for urban planners and farmers
• 📈 Simplified complex weather data for effective decision-making

• Microsoft Certified: Azure Data Scientist Associate
• HackerRank: Python Programming
• Certified in Exploratory Data Analysis and Machine Learning

💡 "Transforming raw data into smart decisions — one model at a time."