About
Highly analytical and results-driven Data Analyst with a Bachelor's in Computer Applications and a strong foundation in SQL, Python, Excel, and Power BI. Proven ability to extract, transform, and analyze complex datasets, developing insightful dashboards and identifying key trends to support strategic business objectives. Eager to leverage hands-on internship experience in retail data analysis and comprehensive project work to drive data-informed decision-making and contribute to organizational growth in a dynamic data analytics environment.
Work
Bangalore, Karnataka, India
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Summary
Contributed to business intelligence initiatives by applying robust data transformation and analytical thinking using Power BI and SQL.
Highlights
Leveraged Power BI (Power Query Editor) and SQL to perform hands-on data analytics, developing robust data transformation skills and analytical frameworks that directly supported business decision-making processes.
Executed complex SQL queries on sample databases, applying advanced concepts including subqueries, logical operators, and various join types to extract critical data and build a strong foundation in SQL fundamentals.
Bangalore, Karnataka, India
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Summary
Led a retail data analysis project, extracting key insights and collaborating with teams to drive results and optimize strategies.
Highlights
Led a comprehensive retail data analysis project utilizing Python, SQL, and Excel to extract key insights from large datasets, performing time series and cohort analyses, and developing calculated columns to elucidate sales trends and customer behavior.
Enhanced data accuracy by identifying and removing outliers, then utilized Power Query and Pivot Tables to improve event planning and demographic analysis.
Identified top product categories and regional trends to inform inventory and marketing strategies, directly supporting business optimization.
Collaborated cross-functionally with teams to translate analytical findings into actionable recommendations, directly supporting the optimization of inventory management and targeted marketing campaigns.
Skills
Technical Skills
Excel, SQL, Power BI, Python, Power Query Editor, Pivot Tables, Data Transformation, Time Series Analysis, Cohort Analysis.
Professional Competencies
Professional Communication, Time Management, Teamwork, Analytical Thinking, Problem Solving, Strategic Planning, Data-Driven Decision Making.