E-Commerce Sales Trends Analysis Using Power BI
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Summary
Led a comprehensive e-commerce sales analysis project, leveraging Power BI to transform raw data into actionable insights and predictive models.
Detail-oriented Data Analyst with a strong foundation in transforming complex datasets into actionable insights, demonstrated by developing interactive dashboards that improved stakeholder decision-making by 20% and predictive models with 85% accuracy. Proficient in SQL, Power BI, Python, and Excel, I excel at data cleaning, exploratory data analysis, and building impactful visualizations to drive data-driven business decisions. Eager to apply analytical skills and business intelligence tools in an entry-level Data Analyst role to contribute to organizational growth and strategic initiatives.
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MBA
Business Analytics
Grade: 8.0
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B. Sc
Computer Science
Grade: 7.8
Issued By
Learn More Pro
Issued By
Dhapps
Issued By
Learn More Pro
Advanced Excel, Pivot Tables, LOOKUPs, Macros, Power BI, DAX, Dashboards, Tableau.
Python, Pandas, NumPy, OOPS, Basic R.
SQL, CRUD, JOINs, Aggregations.
ETL Processes, Data Modeling.
Statistical Analysis.
Problem Solving, Actionable Insights, Exploratory Data Analysis (EDA).
Dashboard Presentation, Decision-Making Clarity.
New Tool Adoption, Project Work.
Team Leadership, College Activities.
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Summary
Led a comprehensive e-commerce sales analysis project, leveraging Power BI to transform raw data into actionable insights and predictive models.
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Summary
Conducted a detailed rainfall data analysis using SQL and Power BI, creating data pipelines to support environmental planning and policy recommendations.