Analyze complex structured and unstructured datasets to identify trends and insights.
Build, validate, and deploy machine learning models for classification, regression, clustering, NLP, or time series forecasting.
Work with stakeholders to define problems, collect requirements, and translate business needs into analytical solutions.
Design and execute A/B tests, hypothesis testing, and statistical analyses.
Create clear data visualizations and dashboards to communicate findings (e.g., via Power BI, Tableau, or Plotly).
Collaborate with data engineers to optimize data pipelines and ensure model integration into production.
Monitor model performance and update models as needed over time.
Stay updated with latest developments in AI/ML and suggest new tools or techniques
