N Venu Maadhav

Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.

1. INTERACTIVE CRICKET ANALYTICS DASHBOARD USING POWER BI.

• Developed an interactive cricket analytics dashboard utilizing Power BI, enabling detailed analysis of player and team performance metrics across various cricket formats.
• Implemented data collection through web scraping, data cleaning and transformation using Python and Pandas, and designed dynamic visualizations to facilitate data-driven decision-making.

2. Pizza Sales Analysis Using SQL

• Developed and executed comprehensive SQL queries to analyze pizza sales data, focusing on key metrics such as total revenue, average order value, and customer purchasing patterns.
• Identified sales trends, peak order times, and popular pizza types, providing actionable insights to inform business strategies and optimize inventory management.

3.  Blinkit Sales and analysis operations using Power BI, Excel,Sql,Python.

• Developed an interactive Power BI dashboard to analyze Blinkit's sales performance, customer satisfaction, and operational efficiency, utilizing KPIs such as Total Sales, Average Sales, Items Sold, and Customer Ratings.
• Conducted data cleaning, transformation, and visualization to provide actionable insights, enabling data-driven decision-making and strategic business optimizations.
• Performed geospatial and temporal analysis to identify high-performing regions and peak sales periods, informing targeted marketing and inventory strategies.

1. Google Cybersecurity Professional Certificate By Coursera (Jan 2024 - April 2024).

• Completed an 8-course, hands-on program developed by Google to prepare for entry-level cybersecurity roles.
• Technical Skills: Python, Linux, SQL, Security Information and Event Management (SIEM) tools (e.g., Splunk, Chronicle) and application of frameworks like NIST CSF and the CIA Triad.
• Practical Experience: Conducted cyber risk assessments, configured virtual private cloud networks, automated security tasks using Python, and analyzed application logs for anomalies.

2. Google Data Analytics Professional Certificate By Coursera ( May 2024 - Aug 2024)

• Completed an 8-course, beginner-level program developed by Google to prepare for entry-level data analyst roles.
• Acquired proficiency in data cleaning, analysis, and visualization using tools such as spreadsheets, SQL, R programming, and Tableau. Developed skills in data organization, statistical analysis, and creating dashboards to communicate insights effectively.
• This Course includes a capstone project to showcase practical application of analytical skills.