Ediga Srilekha

A highly passionate and results-driven Data Analyst specializing in the entire information lifecycle, from data ingestion and preparation to advanced analytics and strategic visualization. Proficient in SQL, Python, Power BI, and Microsoft Excel, with knowledge in machine learning models, and empowering self-service BI. I leverage strong storytelling, communication, and collaboration skills to transform complex data into actionable insights, driving business growth and effective decision-making.

• PYTHON Pandas, UDEMY
• MYSQL, UDEMY
• Power BI, UDEMY
• Microsoft Excel, Success Software Academy

Digital Transactions Project

• Led a team of 5 in a project focused on promoting digital transactions in the local community.
• Presented findings on the benefits, threats, and public perceptions of digitalization, demonstrating communication and analytical skills in a community context

Skills enhanced through virtual internships:

• Gained experience in Social Buzz Content Reaction analysis (Accenture North America).
• Developed skills in Retail Strategy & Analytics (Quantium).
• Acquired knowledge of Data Analytics (Deloitte Australia).
• Enhanced abilities in Data Visualization (TATA).
• Introduction to Data Science (Commonwealth Bank).

Retail Strategy & Analytics: 

• Retail company sought to optimize marketing and product placement strategies.
• Analyzed customer purchase data to identify key trends.
• Developed a Python customer segmentation model and analyzed sales data for seasonal variations.
• Segmentation model provided insights for targeted marketing, and sales trend analysis.

Gen Z Career Aspirations Project:

• Present Analyzed Gen Z's influence on the IT sector, focusing on skills.
• Designed surveys and collected data, cleaning it using Excel for analysis.
• Performed in-depth SQL analysis and developed Power BI dashboards.
• Provided key insights into Gen Z's perspectives on technology and data roles.