Sakhawat Hossain

• Analyzing TANSS records using Power BI, Excel, and R, leading to significant efficiency improvements. • Creating over 20 dashboards for KPI visualization, enhancing decision-making speed. • Collaborating with teams to provide data insights, resulting in increased productivity. • Developing and implementing machine learning models to predict customer behavior and improve retention rates. • Conducting advanced statistical analysis and hypothesis testing to support strategic business decisions.

• Conducted anomaly detection study with PyOD, achieving high accuracy. • Applied ML algorithms and evaluated them with metrics like ROC, PR AUC, MCC, KAPPA, F1 score, contributing to a research paper. • Assisted in the preparation and submission of research proposals and grant applications. • Collaborated with faculty and other researchers to design and implement experiments, analyze data, and publish findings in peer-reviewed journals.

• Completed 3 projects on descriptive analysis, statistical tests, and regression. • Analyzed datasets using R programming. • Developed and validated predictive models, achieving excellent results that supported business objectives. • Collaborated with the Department of Statistics to prepare and present detailed reports, uncovering valuable insights that informed strategic decisions.

• Conducted data cleaning, transformation, and statistical analysis using Python. • Managed dashboards in Power BI to support business decisions. • Presented data insights and trends to stakeholders through comprehensive reports and visualizations. • Utilized SQL to extract and manipulate data from relational databases. • Developed and maintained ETL processes to ensure data integrity and accuracy. Performed exploratory data analysis to identify patterns, anomalies, and trends.