HELLO, I'M
I am a Statistics and Computer Science graduate working in Data Analysis and Data Engineering, passionate about transforming data into meaningful insights and building practical data solutions.
I am a Statistics and Computer Science graduate working in the field of Data, with a focus on Data Analysis and Data Engineering. I enjoy working with data to understand patterns, solve problems, and turn raw information into meaningful and practical insights.
In Data Analysis, I work with Excel, SQL, Power BI, Python, Pandas, and Statistics to clean, explore, analyze, and visualize data, while creating clear dashboards and reports that make insights easier to understand and support better decision-making.
I am also developing my expertise in Data Engineering, with a focus on ETL processes, data pipelines, databases, data transformation, and data management. My goal is to work across the data lifecycle, from raw data processing and organization to analysis and delivering reliable data solutions.
Through projects such as Telco Customer Churn and Chinook SQL Data Analysis, I have applied my analytical and technical skills to real datasets and practical business questions. What sets me apart is the combination of my statistical background and technical data skills, allowing me to look at data from both an analytical and engineering perspective.
I am continuously developing my skills and looking for opportunities to work on data-driven projects, solve real business problems, and create useful data solutions.
Faculty of Science — Statistics & Computer Science
Data Analysis Training • 120 Hours
Data Engineering Track • 6 Months
Analyzed customer churn data to understand customer behavior and identify the key factors affecting customer retention. The project involved exploring and preparing the data, analyzing churn patterns, and extracting meaningful insights from customer information. An interactive Power BI dashboard was created to visualize key findings and make the results easier to understand and support data-driven decision-making.
Excel • SQL • Power BI
Conducted SQL-based analysis using the Chinook database to explore sales performance, customer behavior, music preferences, and business trends. The project involved writing SQL queries to retrieve, filter, group, and analyze data across multiple tables. The analysis was used to answer practical business questions and extract meaningful insights from the database.
SQL • Chinook Database • Data Analysis
I'm always interested in learning, collaborating, and working on data projects.