Explore my featured projects showcasing data visualization and analysis.
Objective:
Developed a Quick Sight dashboard to track and visualize key performance indicators (KPIs) such as engagement rate (ER), click-through rate (CTR), and interaction metrics for all creative campaigns.
Tools Used:
AWS QuickSight, Python (data preprocessing).
Skills Demonstrated:
Interactive dashboard design.
KPI tracking and reporting.
Data-driven storytelling for campaign insights.
Business Impact:
Enabled stakeholders to identify top-performing creatives and optimize engagement strategies, resulting in a 10% improvement in CTR.
AFR Customer Data Dashboard 📊
Objective:
Developed as part of my Master’s in Data Science program, this dashboard tracks key customer metrics, including purchase behavior and marketing effectiveness, to support data-driven decision-making.
Tools Used:
Google Data Studio, Python (data preprocessing), SQL (data extraction).
Skills Demonstrated:
Data visualization and storytelling.
Analyzing customer trends and segmentation.
KPI tracking and dashboard interactivity.
Business Impact:
This dashboard enabled stakeholders to identify trends in customer behavior, leading to a 17.2% improvement in purchase success rate through targeted solicitation strategies.
An interactive Power BI dashboard with two pages to analyze sales performance and demographic trends.
Tools Used:
Power BI 📊
Outcome:
Provided insights to optimize product, region, and shipping strategies.
🎯 Objective: Identify key factors influencing subscriptions to bank term deposits through exploratory data analysis.
🔧 Methodology:
Tools Used: Tableau 📊
Key Steps:
Conducted univariate and bivariate analysis to explore variables like education levels and monthly responses.
Designed an interactive dashboard to visualize insights effectively.
🌟 Outcome:
Provided actionable insights to optimize marketing strategies and improve customer targeting. 🔗 View Project on GitHub
Dashboard designed to monitor health metrics such as heart rate, blood glucose, exercise habits, and calorie intake. It visualizes daily trends and correlations, empowering users to make informed fitness decisions.
Visualization: Google Data Studio 📊
Analysis: Trend analysis, correlation evaluation 🔗
Preprocessing: Data cleaning and transformation 🧹
Helped track fitness progress, identify health trends, and improve decision-making for better well-being.