Customer Purchase Patterns
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Summary
Analyzed customer purchasing behavior and seasonal trends, and created KPIs for product performance and revenue growth.
About
Highly analytical and results-driven Data Analyst with proven expertise in collecting, cleaning, and analyzing large datasets to generate actionable insights. Adept at designing interactive dashboards, leveraging statistical models, and employing Python, SQL, and Power BI to enhance reporting efficiency, improve customer retention, and support strategic decision-making.
Work
KRCPCL Pvt. Ltd.
|Data Analyst
Delhi, Delhi, India
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Summary
Data Analyst at KRCPCL Pvt. Ltd., responsible for end-to-end data analysis, dashboard development, and strategic insights to drive business improvements.
Highlights
Analyzed and processed large datasets exceeding 100K+ rows, translating complex data into actionable insights for strategic business decisions.
Developed and maintained over 10 interactive dashboards using Excel, SQL, Power BI, and Python, boosting reporting efficiency by 30% and enabling real-time data access.
Leveraged statistical models to inform critical decision-making, directly contributing to a 15% improvement in customer retention.
Collaborated cross-functionally to streamline data processes, successfully reducing reporting turnaround time by 20%.
Volunteer
Patliputra University
|Team Lead
Patna, Bihar, India
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Summary
Led a team of 4 in a Customer Retention Analysis project, leveraging Python and Power BI to deliver impactful data insights.
Highlights
Directed a four-member team through a comprehensive Customer Retention Analysis project, successfully utilizing Python and Power BI for data-driven outcomes.
Education
Patliputra University
Patna, Bihar, India
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Bachelor
Computer Application
G.J. College
Bihta, Bihar, India
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High School Diploma
Secondary Education
Languages
English
Hindi
Skills
Programming & Analytics
Python (Pandas, NumPy, Matplotlib, Seaborn), SQL (Advanced).
Visualization Tools
Power BI (DAX, KPI dashboards), Excel, Tableau.
Data Handling
Data Cleaning, Wrangling, ETL (Power Query), Large Dataset Processing.
Machine Learning (Basics)
Regression, Classification, Clustering, EDA.
Databases
MySQL, PostgreSQL, Google BigQuery.
Tools & Platforms
Jupyter, Google Colab, Git/GitHub, MS Office Suite.
Projects
Customer Retention Analysis
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Summary
A comprehensive project focused on identifying churn patterns and key retention factors using advanced data analysis and visualization techniques.
Blinkit Sales Dashboard
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Summary
Developed a comprehensive sales dashboard for Blinkit, integrating Power BI and SQL to track key performance indicators and analyze sales data.
Zomato Restaurants Dashboard
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Summary
Created a Power BI dashboard to visualize and analyze Zomato restaurant performance, top cuisines, and customer preferences.