About
Highly motivated and detail-oriented Data Analyst with a Master's in Business Administration, leveraging strong analytical skills and hands-on project experience in Python, SQL, Excel, and Tableau. Proven ability to transform complex datasets into actionable insights, driving improvements in customer experience, sales performance, and operational efficiency. Eager to contribute to data-driven decision-making in an entry-level role or internship within a dynamic organization.
Work
Jaipur, Rajasthan, India
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Summary
Led a data analysis project to optimize Freshmart revenue using Python and Tableau, identifying key performance indicators and generating actionable business insights.
Highlights
Identified top-performing employees, high-revenue categories, and regional sales trends through in-depth data analysis, informing strategic sales initiatives.
Developed an interactive Tableau dashboard with dynamic filters (city, category, employee) to provide real-time performance insights and facilitate data exploration.
Derived actionable insights into customer behavior and sales performance, supporting data-driven strategies for revenue growth and operational efficiency.
Jaipur, Rajasthan, India
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Summary
Conducted comprehensive customer service analysis using Excel to identify key trends in satisfaction metrics and improve retention strategies.
Highlights
Utilized pivot tables, charts, and advanced Excel formulas to analyze trends in CSAT scores, response times, call durations, and customer sentiment.
Identified critical service issues impacting customer satisfaction, providing data-backed insights that led to improved customer retention strategies and service quality.
Jaipur, Rajasthan, India
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Summary
Performed in-depth market analysis on Amazon Brazil's customer and sales data using SQL to uncover purchasing patterns and enhance customer experience.
Highlights
Analyzed extensive customer and sales data for Amazon Brazil with SQL, identifying key trends in customer behaviors and product preferences.
Extracted critical insights on product demand, buying patterns, and customer segmentation, enabling data-driven decisions to optimize the customer experience.
Skills
Analytical Skills
Data Cleaning, Data Visualization, Statistical Analysis, Problem Solving, Trend Identification, Insight Generation.
Programming & Tools
Python (Pandas, NumPy, Matplotlib, Seaborn), SQL (MySQL, PostgreSQL), Excel (Pivot Tables, Charts, Formulas), Tableau.
Data Management
Database Management, Data Extraction, Data Transformation.
Business Acumen
Market Analysis, Customer Behavior Analysis, Sales Performance Analysis, Revenue Optimization, Customer Retention.