Self-Taught Data Science Learner β’ Machine Learning Enthusiast
Learning through hands-on projects, real datasets, and continuous improvement.
Focused on ML, EDA, Python, SQL, and building strong portfolio projects.
- Data Cleaning & EDA: Transforming raw data into clear insights
- Machine Learning: Building & evaluating predictive models
- Visualization: Structured charts & dashboards
- End-to-End Projects: From problem β EDA β modeling β insights
- Self-Learning: Advancing skills through practice & consistency
- Exploratory Data Analysis
- Data Cleaning & Wrangling
- Hypothesis Testing
- Regression Models
- Classification & Regression
- Tree-Based Models
- Feature Engineering
- Model Evaluation (Accuracy, F1, ROC, etc.)
- Self-Learning Discipline
- Breaking Down Concepts Clearly
- Clean, Reproducible Code
- Interpretation & Insight Building
- ML β’ Predictive Modeling β’ Python β’ Statistics
- SQL β’ R β’ Data Cleaning β’ Visualization
- Deloitte Data Analytics Job Simulation
- Web Dev Basics (Git, VS Code)
- ML portfolio projects
- Strengthening Python & SQL
- Learning Deep Learning basics
- Improving Tableau dashboards
- Practicing end-to-end workflows
π§ Email: shanzaykhan3002@gmail.com
π LinkedIn: https://www.linkedin.com/in/shanzaykhan-/
β Always learning. Always improving. Always building.
