VarunR

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.

About

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.

Skills· 3

Languages

  • EnglishFluent
  • TamilFluent
  • TeluguFluent
  • KannadaFluent
  • HindiFluent

Industry experience

  • Other
  • Professional Services

More experts in Bengaluru, India

Projects · 3

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.

  • Data Scientist
  • Data Visualizer

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.

Diwali Sales Analysis Project
  • Data Scientist
  • Data Visualizer
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.

  • Data Scientist
  • Data Visualizer

Education

Bachelor of Engineering · New Horizon College of Engineering2023

Certifications and awards

IBM Certified Data Analyst2024

Testimonials · 5.0 from 1 review

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