- 🎓 I'm a Data Scientist currently pursuing my MCA at Lovely Professional University with a CGPA of 8.46.
- 💻 I love building machine learning applications and uncovering patterns from data using tools like Python, TensorFlow, and Power BI.
- 🌱 Constantly learning and growing in the areas of deep learning, web deployment, and data engineering.
- 📚 Completed various certifications from IBM, AWS, and Simplilearn to sharpen my data science toolkit.
- 🌐 I enjoy translating raw data into actionable insights that drive results.
- 📧 Email: [email protected]
- 💼 GitHub Portfolio
Languages:
Frameworks & Tools:
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🔍 Customer Segmentation (K-Means Clustering)
Identified 5 unique customer segments for targeted marketing using age, income, and spending behavior. -
🌱 Plant Classification (CNN + Flask)
Built and deployed a CNN model for classifying plants via a Flask web app. -
❤️ Heart Disease Detection (RapidMiner)
Created an ML pipeline to predict cardiovascular diseases using key medical indicators.
- ✅ Power BI for Beginners – Simplilearn
- ✅ Python 101 for Data Science – IBM
- ✅ Data Analysis with Python – IBM
- ✅ AWS Machine Learning Basics – AWS
- ✅ Integrated Python, ML & Data Science – CipherSchools
- 🌟 C++: 5⭐
- 🌟 SQL, Python, C: 4⭐