🚀 About Me: I'm a Data Scientist passionate about transforming raw data into meaningful insights. Skilled in data cleaning, preprocessing, visualization, and building predictive models.
🌱 Currently learning: Advanced ML Algorithms, Feature Engineering, and Time Series Analysis 📊 Interested in: Data-driven decision making, Model optimization, and Explainable AI
📫 Reach me at: zainzulfiqar.cs@gmail.com
📌 Featured Projects:
Predicts housing prices using advanced regression algorithms.
Tech stack: Python, Pandas, Scikit-learn, Seaborn
Key features:
- Data preprocessing pipeline
- Feature selection & engineering
- Model evaluation metrics
A machine learning project to predict housing prices in Pakistan using real estate datasets. Achieved a final R² score of 0.99 with Random Forest Regression after cross-validation and log-transform.
Tech stack: Python, Pandas, Scikit-learn, Seaborn
Key features:
- Data cleaning & preprocessing pipeline
- Encoding categorical & numerical features
- Model training with Linear Regression & Random Forest
- Evaluation using R², MAE, and MSE metrics
🛠 Skills & Tools
📫 Connect with Me
