I am an entry-level Data Analyst with a strong foundation in Python, SQL, Power BI, Excel, and data analysis. I have hands-on experience in cleaning, analyzing, and visualizing data to extract meaningful insights that support business decisions.
Currently, I am working as a Data Analytics Trainee, where I work with real-world datasets and business use cases. My responsibilities include data cleaning and validation, exploratory data analysis (EDA), writing SQL queries, and creating dashboards and reports using Power BI. I enjoy identifying patterns, trends, and insights from data and presenting them in a clear and understandable way.
I have worked on projects such as financial data analysis dashboards, SQL-based business analysis systems, and Python-based EDA projects. These projects helped me develop strong analytical thinking, attention to detail, and problem-solving skills. I am comfortable working with structured datasets and enjoy learning new tools and techniques related to data analytics.
I am highly motivated, quick to learn, and open to feedback. As a fresher, I am eager to gain real-world experience, deliver quality work, and grow as a data professional. I am looking for opportunities where I can contribute my analytical skills while continuously improving and adding value to client projects.