I am a Data Analyst with a Bachelor of Science background in Computer Science and a focus on Data Analysis and Business Intelligence. I am developing practical skills in transforming raw data into actionable insights for business decision-making.
I work with Excel, SQL, Python, Tableau, and Power BI to clean, analyze, visualize, and report data. My analytical workflow includes data profiling, data-quality assessment, missing-value handling, duplicate detection, outlier detection, standardization, and data-type conversion.
I have built interactive Power BI dashboards that track employees, projects, tasks, budgets, ratings, and operational KPIs. I use DAX, Power Query, slicers, drill-through features, bookmarks, and dashboard visuals to support clear and timely analysis.
I have also completed SQL Server and SSMS projects involving database creation, tables, schemas, views, querying, data validation, and KPI development. In Excel, I create PivotTables, Pivot Charts, lookup formulas, KPI cards, and filterable dashboards.
My Python data-cleaning projects use pandas, NumPy, matplotlib, and Jupyter Notebook to improve the quality and usability of transaction and business datasets. I am currently gaining additional experience through a data mining internship and continuing my education in Computer Science.
I am seeking opportunities where I can contribute my data analysis, business intelligence, dashboarding, and data-quality skills while continuing to grow as a data professional.