Customer Churn Analysis
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Summary
Conducted a customer churn analysis using Python to identify and understand factors contributing to customer attrition in a telecom dataset.
Highly analytical and detail-oriented graduate with a Bachelor of Commerce and a Data Science certification, proficient in data analysis, visualization, and database management using Python (Pandas, NumPy, Matplotlib), SQL, Excel, and Power BI. Eager to leverage proven problem-solving skills to transform complex data into actionable insights, contributing to impactful business decisions in an entry-level Data Analyst role.
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Bachelor
Commerce
Issued By
Upgrad
Python, SQL.
Pandas, NumPy, Matplotlib.
Power BI, Excel Charts.
MySQL.
Excel (VLOOKUP, Pivot Tables, Charts), Jupyter Notebook, Spyder.
Problem Solving, Communication, Attention to Detail, Time Management.
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Summary
Conducted a customer churn analysis using Python to identify and understand factors contributing to customer attrition in a telecom dataset.
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Summary
Developed a comprehensive sales analysis dashboard using Power BI to provide actionable insights into regional sales performance.
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Summary
Explored and analyzed a mock e-commerce database using MySQL to derive insights on customer behavior, revenue, and product trends.