SREENIJA POTTLADURTHI

Passionate and aspiring Data Analyst with a solid skill set in Excel, SQL, Power BI,Tableau, Python and R. Excited about converting raw data into actionable insights through compelling visualizations. Committed to professional growth, eager to contribute to impactful data-driven decision-making in a collaborative and challenging environment. Seeking a Data Analyst role to further enhance practical experience.

LANGUAGES

• Python
• MSQL
• R

DATA VISUALIZATION

• MS Excel
• Power BI
• Tableau

CONCEPTS

• Business Analytics
• Statistics
• Business Intelligence
• Data Pre-Processing
• Exploratory Data Analysis
• Data Visualization

• “ExcelR Solutions” Data Analytics
• Internship certificate from AI Variant

• Communication
• Leadership
• Time Management
• Problem Solving
• Attention to Detail
• Analytical Skills

• English (Fluent)
• Hindi
• Telugu ( Native)

Data Analyst Intern at AI Variant   (Nov 2023 - Current)   

Internship Projects :

Ecommerce Analytics (Olist Store) 

Objective: How can Olist Store Ecommerce leverage data insights to enhance weekend sales and improve customer satisfaction?

Tools Used - Excel, Power BI, Tableau, MySQL

Outcome of the analysis:

• Discovered a weekend sales ratio of 77.02% and weekday sales at 22.98%, highlighting the dominance of weekend sales.
• Applied advanced MySQL querying techniques for data extraction and analysis.
• Optimize inventory management based on sales trends and customer preferences.
• Present critical data insights visually through tools like Power BI and Tableau for improved decision-making.
• Optimize inventory management based on sales trends and customer preferences.

P455 Bank Analytics

Objective: The objective of the P455 Bank Analytics Project is to leverage data analytics to drive business value, improve decision-making, and enhance the overall performance of the bank across various functional areas, including customer service, revenue generation, risk management, and operational efficiency.

Tools Used - Excel, Power BI, Tableau, MySQL

Outcome of the analysis:

• Discovered that the Grade B category tend to have higher revolving balances on average, which may indicate their financial stability and creditworthiness.
• Verified accounts have a higher percentage of total payments, indicating that borrowers with verified status are more likely to make payments on time or in full.
• Fraud detection and prevention measures.
• Improvements in operational efficiency.
• Compliance with regulatory requirements.
• Strategic decision support for long-term growth and sustainability.

Data Analyst Certification from ExcelR Solutions - A Training Division of EXCELR SOLUTIONS 

My Learnings:

• Mastered KPI interpretation, creating impactful dashboards.
• Excelled in end-to-end data handling, specializing in big data cleaning, analysis, and Power BI visualization.
• Proficient in building Tabular Data Models using Power Pivot, with MySQL and SQL Query skills.
• Adaptable across various Data Analytical tools, including Excel, Power BI, MySQL, Tableau, Python, and R, recognized for secure data practices and creative visualization skills.