Niloy Samadder

- Developed automated KPI reporting workflows using Python, SQL and Power BI, with scheduled refresh in Power BI Service, reducing manual reporting effort by over 90%. - Developed and maintained ETL workflows combining enterprise data sources using Python and scheduled GitLab CI/CD pipelines; improved data availability and consistency for reporting. - Integrated SharePoint data through Microsoft Graph API and Azure App Registration to automate data extraction and support recurring enterprise workflows.

- Preprocessed and cleaned data to handle missing values, outliers, and data inconsistencies - Performed data analysis and data visualization to extract meaningful insights and patterns from large datasets - Conducted statistical analyses - Developed predictive models using machine learning algorithms - Performed explainable artificial intelligence (XAI) and interpretable machine learning to get valuable insights of the models - Applied model validation techniques

- Analyzed and transformed power generation, operational, and energy market datasets using Python and SQL to support forecasting, reporting, and operational decision-making processes. - Automated recurring reporting workflows and created interactive Power BI reports, saving over 10 hours of manual effort per week. - Developed time-series models for energy demand and generation trends, improving forecasting accuracy by 20%.

Major Courses: Hydrology, Climatology, Climate Change, Geodesy, Data Science, Integrated Water Resource Management, Flood Risk Management, Environmental Issue Analysis

Major Courses: Structural design and analysis, Fluid mechanics, Environmental engineering, Water management, Hydraulic engineering, Numerical analysis, Computer programming, Geotechnical engineering.