I'm a Data Science & Machine Learning Enthusiast passionate about turning raw data into meaningful insights and intelligent solutions.
I focus on analyzing datasets, building predictive models, and creating data-driven solutions that solve real-world problems. With a solid foundation in statistics, programming, and ML algorithms, I aim to bridge the gap between data and decision-making.
- 📊 Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn
- 🤖 Machine Learning: Scikit-learn, XGBoost, Random Forest, SVM, Ensemble Learning
- 📈 Model Evaluation: Confusion Matrix, ROC Curve, Precision/Recall, Accuracy
- 🛠 Tools & Workflow: Git, GitHub, Jupyter Notebook, VS Code
- 🔍 Currently Exploring: Deep Learning, Time Series Forecasting, Model Deployment
💡 “For me, it's not just about analyzing data — it's about building smart, impactful solutions that drive real change.”