About
Data Analyst with 9 months of internship experience in data cleaning, validation, SQL analysis, exploratory analysis, and dashboard development. Hands-on experience using Python, Pandas, SQL, Excel, and Power BI to process structured datasets, identify data quality issues, analyze trends, and build reports that communicate actionable insights. Worked across 3 analytics projects at AiVariant, handling datasets of up to 1M+ rows — writing SQL queries with joins, aggregations, and window functions, building Power BI dashboards with KPI measures, and cross-validating results using Advanced Excel. Also experienced in automated data validation scripting from a prior technology internship. Strong attention to detail, analytical problem-solving, and documentation skills. Comfortable working independently on structured datasets and communicating findings clearly to stakeholders. Open to Data Analyst, MIS, and reporting-focused roles, and open to relocation.