- Python, SQL
- Machine Learning
- Statistical Modeling
- Predictive Modeling
- Forecasting, Classification, Regression
- A/B Testing
- Feature Engineering
- Model Evaluation
- Tableau / Power BI
- Azure ML
- Databricks
- MLflow
Responsibilities
- Develop end-to-end machine learning and data science solutions.
- Build, validate, and deploy predictive models.
- Perform data exploration, feature engineering, and model evaluation.
- Translate business problems into data-driven solutions.
- Collaborate with data scientists, ML engineers, data engineers, and business teams.
- Communicate insights using visualization tools.
- Work in Azure-based data science environments.