I am a Data Analyst with a background in Computer Science and a strong interest in data-driven problem solving. I have completed my B.Sc. in Computer Science and am currently building my professional career in data analytics.
My core skills include SQL, Python, Pandas, NumPy, Excel, and data analysis. I have hands-on experience working with datasets, performing data cleaning, writing SQL queries, analyzing customer behavior, and extracting meaningful business insights. I have also worked on projects such as Bank Customer Churn Analysis, Banking System Database, Employee Management and Salary Analysis, and Library Management System.
Through these projects, I have developed practical experience with SQL Server, joins, aggregations, subqueries, CTEs, window functions, CASE statements, and data analysis using Python and Pandas. I also enjoy documenting my projects and building my portfolio on GitHub.
My main career interest is becoming a strong Data Analyst who can use data to help businesses understand their customers, identify trends, measure performance, and make better decisions. I am particularly interested in roles involving SQL, business analysis, reporting, dashboards, customer analytics, and data visualization.
I am a continuous learner and currently focusing on improving my analytical thinking, advanced SQL, Python, data visualization, and business understanding. I am open to opportunities where I can apply my existing skills, learn from experienced professionals, and grow into a highly capable data professional.
Outside of technical skills, I am interested in learning new technologies, working on practical projects, solving analytical problems, and continuously improving my professional skills.
United Kingdom
United States
Canada
Netherlands