Presentation
Through intensive hands-on projects, I have developed a solid foundation in the end-to-end data analysis lifecycle—from extracting data from databases and carefully cleaning it to advanced visualization and problem-solving.
Core skills:
Data Cleaning & Preparation: Transforming messy, unstructured data into reliable, analysis-ready formats.
Exploratory Data Analysis (EDA): Exploring statistical patterns, trends, and anomalies in data.
SQL & Database Management: Writing efficient SQL queries to extract and modify data in relational databases.
Dashboards & Visualization: Designing interactive, impactful Tableau dashboards to communicate findings clearly to decision-makers.
Automation & Advanced Analysis: Using Python and advanced Excel to work with data and uncover deeper statistical insights.
Technical toolkit:
Core languages and tools: SQL, Python, Advanced Excel.
Visualization and BI tools: Tableau.
Methods: Data wrangling, EDA, statistical analysis, and reporting.
Portfolio
Offered services




