Case Studies along with Projects on Real World Data Analytics
Explore end-to-end data analytics projects using real business problems, datasets and structured problem solving techniques.
Explore end-to-end data analytics projects using real business problems, datasets and structured problem solving techniques.
Breaking down complex business problems into structured analytical solutions.
Understanding customer behavior, KPIs, and business performance metrics.
Exploring patterns, trends, and hidden insights inside data.
Turning analytics into actionable insights and decision-focused dashboards.
Funnel analysis, conversion optimization, customer behavior, and revenue leakage analysis.
User engagement analysis, KPI tracking, and product performance evaluation.
Churn analysis, segmentation, retention insights, and customer behavior analytics.
Efficiency tracking, operational performance analysis, and process optimization insights.
Energy consumption analysis, solar segmentation, efficiency tracking, and sustainability analytics.
These projects best represent my real-world analytics experience and business-focused problem-solving approach.
My Background
Graduate of electrical and electronic engineering with a career change to data analytics, with experience in digital marketing freelance work. Combines business understanding, analytical thinking and technical problem solving.
Created hands-on projects in e-commerce, customer, product, and operations analytics with SQL, Python, Power BI, Tableau, Excel, and GA4 to analyze data, track KPIs, and develop insight-driven dashboards.