7+ years of experience in data analysis within finance, banking, accounting, and human resources, complemented by 1+ year of expertise in Data Science. Diverse skills in developing data-driven solutions.
- Conducting exploratory data analysis (EDA) with Python, including data cleaning and feature engineering.
- Proficient in libraries like NumPy, Pandas, and SciPy for data optimization.
- Utilizing SQL for data extraction and manipulation.
- Creating advanced visualizations with Tableau, Power BI, Seaborn, and Matplotlib.
- Performing significance tests to derive actionable business intelligence insights.
- Modeling regression, classification, and clustering algorithms in Machine Learning using frameworks like Scikit-learn and TensorFlow.
- Optimizing models through hyperparameter tuning and cross-validation.
- Experienced in deploying models on cloud platforms like AWS and Azure.
- Programming Languages: Python, SQL
- Libraries and Frameworks: NumPy, Pandas, TensorFlow, Scikit-learn, Seaborn
- Visualization Tools: Tableau, Power BI, Matplotlib
- Version Control: Git, GitHub
- Other Tools: Google Sheets, Regex
Feel free to reach me at:
- Email: [email protected]
- LinkedIn: https://www.linkedin.com/in/emrebiyik/