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…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.WWWI 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 S…
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,…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.WWWWI 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, an…
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.
Language
English
Fluent
Tamil
Fluent
Telugu
Fluent
Kannada
Fluent
Hindi
Fluent
Education
Bachelor of Engineering at New Horizon College of Engineering
August 1, 2023Qualifications
IBM Certified Data Analyst
June 1, 2024Industry Experience
Other, Professional Services
Testimonials
★★★★★
Jul 2024by Swathi M
from TechSavy
Personal Finance Analysis
Varun R was great to work with. He listened to all my needs and with his excellent and commendable skills he has done a great job. And the financial analysis he made was very good and satisfying. One of the best thing is the work is delivered on time. I would prefer him again for my work. One of the best to work with. Great job!.
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,…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.WWComprehensive 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, …
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.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.WWWWWWWWComprehensive 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.
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…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.WWObjective: 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 f…
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