Key Responsibilities :

- Gather data from multiple sources and prepare it for analysis.

- Analyze large volumes of structured and unstructured data to identify trends and patterns.

- Develop machine learning models and predictive algorithms to solve business problems.

- Use statistical techniques to validate findings and ensure accuracy.

- Automate processes using AI tools and programming.

- Create clear, engaging visualizations and reports to communicate results.

- Work closely with different teams to apply data-driven insights.

- Stay updated with the latest tools, technologies, and methods in data science.

Tools and Technologies :

- Programming languages : Python, R, SQL.

- Data visualization : Tableau, Power BI, matplotlib.

- Machine learning frameworks : TensorFlow, Scikit-learn, PyTorch.

- Big data platforms : Apache Hadoop, Spark.

- Cloud platforms : Google Cloud.

- Gen AI , Vertex Ai