Data Scientist at Dataside
As a Data Scientist, I work with Python, Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, SQL, and data visualization tools such as Matplotlib and Seaborn. My responsibilities include data analysis, building predictive models, and deploying machine learning solutions.
Key Responsibilities
- Develop and deploy machine learning models for production environments
- Perform exploratory data analysis and statistical modeling
- Build data pipelines for ETL processes
- Create data visualizations and dashboards for stakeholder communication
- Collaborate with engineering teams to integrate ML solutions into products
Technologies & Tools
- Languages: Python, SQL
- ML/DL: TensorFlow, PyTorch, scikit-learn
- Data Processing: Pandas, NumPy, Polars
- Visualization: Matplotlib, Seaborn, Plotly
- Cloud: AWS, Azure ML
- Version Control: Git, DVC