I am a dedicated and motivated data analyst with a recent completion of the IBM Data Analyst Professional Certificate on Coursera and a HackerRank SQL certification. With hands-on experience in data analysis using Python and SQL, and proficiency in data visualization with Power BI, I have developed a keen eye for detail and a strong analytical mindset. My projects include Diwali Sales Analysis and Sales Data Optimization, where I leveraged my technical skills in Python, SQL, NumPy, Pandas, Tableau, Power BI, and Excel. I am eager to apply my knowledge and skills to help businesses make data-driven decisions and achieve their goals.

VarunR

5.0 (1 review)

I am a dedicated and motivated data analyst with a recent completion of the IBM Data Analyst Professional Certificate on Coursera and a HackerRank SQL certification. With hands-on experience in data analysis using Python and SQL, and proficiency in data visualization with Power BI, I have developed a keen eye for detail and a strong analytical mindset. My projects include Diwali Sales Analysis and Sales Data Optimization, where I leveraged my technical skills in Python, SQL, NumPy, Pandas, Tableau, Power BI, and Excel. I am eager to apply my knowledge and skills to help businesses make data-driven decisions and achieve their goals.

Available to hire

I am a dedicated and motivated data analyst with a recent completion of the IBM Data Analyst Professional Certificate on Coursera and a HackerRank SQL certification. With hands-on experience in data analysis using Python and SQL, and proficiency in data visualization with Power BI, I have developed a keen eye for detail and a strong analytical mindset. My projects include Diwali Sales Analysis and Sales Data Optimization, where I leveraged my technical skills in Python, SQL, NumPy, Pandas, Tableau, Power BI, and Excel. I am eager to apply my knowledge and skills to help businesses make data-driven decisions and achieve their goals.

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Experience Level

MySQL
Expert
SQL
Expert
Python
Intermediate

Language

English
Fluent
Tamil
Fluent
Telugu
Fluent
Kannada
Fluent
Hindi
Fluent

Education

Bachelor of Engineering at New Horizon College of Engineering
August 1, 2023

Qualifications

IBM Certified Data Analyst
June 1, 2024

Industry Experience

Other, Professional Services
    uniE613 Diwali Sales Analysis Project
    Comprehensive Sales Data Analysis: Analyzed sales data from over 50,000 transactions during the Diwali season using Python, identifying top-selling products and peak sales periods. Enhanced Sales Strategy: Provided actionable insights that contributed to a 20% increase in sales strategy efficiency, optimizing product placement and promotional efforts. Improved Forecast Accuracy: Implemented advanced statistical methods and machine learning algorithms in Python, improving sales forecast accuracy by 18% and reducing stockouts by 12%. Sales Data Optimization Project: Streamlined Data Processing: Optimized data processing workflows using Python libraries (Pandas, NumPy), reducing data analysis time by 35%. Increased Data Accuracy: Improved data cleaning and transformation processes, enhancing the accuracy of sales forecasts and enabling better decision-making. Effective Data Visualization: Created comprehensive data visualizations with Python libraries (Matplotlib, Seaborn) to present insights to stakeholders, leading to a 15% improvement in understanding sales trends and performance.
    uniE613 Diwali Sales Analysis Project
    Comprehensive Sales Data Analysis: Analyzed sales data from over 50,000 transactions during the Diwali season using Python, identifying top-selling products and peak sales periods. Enhanced Sales Strategy: Provided actionable insights that contributed to a 20% increase in sales strategy efficiency, optimizing product placement and promotional efforts. Improved Forecast Accuracy: Implemented advanced statistical methods and machine learning algorithms in Python, improving sales forecast accuracy by 18% and reducing stockouts by 12%. Sales Data Optimization Project: Streamlined Data Processing: Optimized data processing workflows using Python libraries (Pandas, NumPy), reducing data analysis time by 35%. Increased Data Accuracy: Improved data cleaning and transformation processes, enhancing the accuracy of sales forecasts and enabling better decision-making. Effective Data Visualization: Created comprehensive data visualizations with Python libraries (Matplotlib, Seaborn) to present insights to stakeholders, leading to a 15% improvement in understanding sales trends and performance.
    uniE613 SQL Analysis of Pizza Company Sales Data
    Objective: Analyze sales data using MySQL Workbench to uncover business insights for better understanding customer preferences, optimizing inventory, and increasing revenue. Key Analyses: Total Orders: Calculated the total number of orders placed. Revenue: Determined the total revenue from pizza sales. Popular Pizzas: Identified the most ordered pizza sizes and types. Order Patterns: Analyzed order distribution by hour and day. Revenue Drivers: Found the top revenue-generating pizzas. Key Findings: Peak order times were identified, highlighting the need for well-stocked ingredients during busy hours. California, Prosciutto, and Barbecue pizzas were the top revenue generators. Targeted marketing campaigns and promotions, such as BOGO deals, can drive sales during off-peak hours and for slower-selling items. Conclusion: The analysis provided actionable insights to enhance inventory management, pricing strategies, and marketing efforts, ultimately improving the overall business performance of the pizza company.

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