I'm an aspiring Data Analyst passionate about turning data into actionable insights. I love working on real-world projects, exploring machine-learning models, and visualizing data in creative ways.
🌱 Currently pursuing my postgraduate degree in [Your Field] and building my skills in Python, SQL, and data visualization tools.
- Languages: Python, SQL, R, JavaScript
- Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
- Databases: MySQL, PostgreSQL
- Data Viz: Power BI, Tableau, Matplotlib
- Other Tools: Git, Jupyter, VS Code, AWS SageMaker
- Multiple Linear Regression-Bike Sharing: I successfully modeled the demand for shared bikes using the available independent variables. This model provides valuable insights into how demand fluctuates based on various factors, enabling management to make informed decisions and adjust business strategies accordingly. The model also offers a solid foundation for understanding demand patterns in new markets, helping the company better meet customer expectations and optimize its service offerings.
Did you know? Data is like the new oil, but I prefer to say it's like oxygen – vital for businesses today! 🌱
