Sheikh Sharfuddin Mim

- Contribute to AI research projects, supporting technical investigation, experimental analysis, statistical analysis, scientific writing, and communication of research outcomes. - Prepare and analyze data and evaluate machine-learning models, documenting results in research manuscripts, project reports, and conference presentations. - Translate complex AI methods and findings into clear documentation. - Support teaching by explaining AI concepts and guiding student projects.

- Analyzed research datasets using Python, SQL, and statistical methods. - Performed data cleaning, preprocessing, and exploratory data analysis (EDA). - Supported machine learning research through data analysis and evaluation. - Prepared data visualizations and technical documentation of research findings.

- Analyzed bicycle sales and logistics data in Microsoft Excel to monitor revenue, product performance, profitability, and sales trends, providing periodic reports and insights to support management decision-making.

- Extracted, joined, filtered, and aggregated manufacturing and operational data using SQL for business reporting. - Analyzed production, inventory, order, and quality KPIs to identify trends and support operational decision-making. - Created reports using PivotTables, PivotCharts, formulas, lookup functions, and conditional formatting to monitor KPI trends and actual-vs-target performance. - Performed data validation, transformation, and consolidation using SQL and Excel, supporting ETL processes.