I am a detail-oriented Data Analyst with an MCA background and hands-on experience in data cleaning, analysis, visualization, and reporting. I work with SQL, Advanced Excel, Python, and Power BI to transform raw data into actionable business insights.
I have developed end-to-end analytics solutions, including a community survey analysis project covering more than 500 records. My work involved consolidating data, validating and transforming records, conducting exploratory analysis, and building an interactive dashboard for decision-makers.
I am proficient in SQL querying, including JOINs, GROUP BY, filtering, and aggregate functions. I also use Excel features such as Pivot Tables, VLOOKUP, XLOOKUP, conditional formatting, and charts to create clear reports and KPI-driven analysis.
Using Python with Pandas and NumPy, I have cleaned datasets, handled missing values, removed duplicates, and automated data processing and report generation. During my Python internship, I processed over 8,000 records and improved processing efficiency by approximately 30%.
I also have foundational web development experience with HTML, CSS, and JavaScript, which helps me understand user-friendly data presentation. I am seeking a Data Analyst role where I can apply my analytical, technical, communication, and problem-solving skills to support data-driven business decisions.