About
Analytical and detail-oriented Data Analyst with a background in Industrial Chemistry and practical expertise in SQL, Python (Pandas, NumPy), and BI tools. Proven track record in transforming raw transactional datasets into actionable business intelligence using complex SQL techniques (CTEs, Subqueries, Window Functions) and behavioral segmentation. Skilled in data cleaning, exploratory data analysis, KPI formulation, and executive dashboarding to optimize business performance in fast-paced environments.
Skills & Expertise (41)
Work Experience
Data Analyst
Self-Directed Data Analytics Projects
Jan 2024 - Present
Analyzed an e-commerce dataset using MySQL to extract business insights. Calculated total revenue, average payment value, and highest/lowest transaction values using SQL aggregate functions. Analyzed order status and payment method distribution using GROUP BY and COUNT(). Used SQL queries with SELECT, WHERE, ORDER BY, SUM(), AVG(), COUNT(), MAX(), and MIN(). Generated business insights to support sales and customer payment analysis. Built and analyzed real-world business datasets using SQL and Python. Performed data cleaning, exploratory data analysis, KPI reporting, and customer behavior analysis. Created analytical reports and dashboards using Excel, Power BI, and Looker Studio. Documented SQL queries, findings, and business insights in GitHub project repositories. Built full-stack proficiency in SQL, Python (Pandas, NumPy), Power BI, Google Sheets, and Looker Studio through intensive real-world project modeling and dataset analysis. Expanding advanced expertise in Tableau to enhance interactive dashboarding and cross-functional visual reporting.
Education
Bachelor of science
2021 - 2024 · India
Certifications
No certifications added yet
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Skills (41)
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