Raneesha K

Data Analyst Fresher with an M.Tech in Electronics and Communication Engineering and strong skills in Excel, SQL, Python, and Power BI. Recently upskilled through projects involving data cleaning, visualization, and analysis. Known for an analytical mindset, attention to detail, and clear communication. Returning to the workforce after a planned 8-year career break with renewed focus and updated technical skills. Seeking an entry-level data analyst role to contribute to data-driven decision making.

Analysis of Higher Education Result in UAE (Excel, Power BI)

• Cleaned and prepared graduate datasets in Excel, covering multiple years, Emirates, and higher education sectors.
• Built an interactive Power BI dashboard to track trends by academic year, Emirate, and student nationality.
• Examined STEM vs. non-STEM graduates, identifying distribution patterns and sectoral insights.
• Analyzed graduate demographics, comparing national vs. non-national students across different years

Customer Behavior Analysis Dashboard(Python, MySQL, Power BI)

• Developed a Customer Behavior Dashboard using Python, MySQL, and Power BI to analyze shopping patterns.
• Cleaned and processed customer data in Python, performed data analysis in MySQL.
• Created interactive Power BI visualizations to reveal insights on customer segments, spending patterns, product preferences, and subscription behavior.

Department Operations Project Dashboard | Excel, SQL, Power BI

• Cleaned and prepared departmental project data in Excel for accurate analysis of budgets, capital, and project status.
• Used SQL to query and summarize information on project allocations, departmental budgets, and capital expenditures.
• Built a Power BI dashboard to track: Capital, Salary expenditure and budget distribution across departments Projects and their budgets etc.

Healthcare Data Analysis and Insights (Excel)

• Cleaned and analyzed the hospital dataset using formulas and pivot tables
• Created a dashboard with charts showing average treatment cost based on their age, diabetic condition and hospital tiers, to track critical metrics such as cancer cases, transplant counts, and major surgeries.