Good Cabs Performance Analysis is part of Code Basics Resume Challenge #13. This project involved creating an interactive Power BI dashboard to analyze key performance metrics such as trips, passengers, revenue, and city-wise trends. The analysis provided valuable insights into passenger behavior, revenue distribution, and operational efficiency. It was a great opportunity to demonstrate my skills in data analysis, visualization, and decision-making. 

Developed an interactive Power BI dashboard using ZoomCharts visuals to analyze merchandise sales. The project includes:

Sales Overview: 

Customer & Product Insights

Shipping Analysis:

Predictive Analytics:

This project demonstrates my expertise in creating actionable and visually appealing dashboards..

I analyzed market data to support AtliQ Motors' entry into the Indian EV market. Using Python for data analysis  for interactive visualizations, I explored sales trends, consumer preferences, and competitive insights. The findings highlighted growth opportunities and provided actionable recommendations for a strategic market expansion. 

In this project, I analyzed HR data to uncover trends in employee retention and performance. Using PowerBI, I created interactive dashboards to visualize key insights on demographics, satisfaction scores, and attrition rates. The analysis provided actionable recommendations to help HR teams improve employee engagement and reduce turnover.

I analyzed historical dengue data using Python to identify trends and high-risk areas, exploring the link between cases and weather conditions. An ARIMA model forecasted case spikes, highlighting a strong correlation with monsoon seasons, aiding public health planning.

I analyzed Rwanda’s crop production data using Python and PowerBI to identify trends, seasonal patterns, and regional differences. The analysis assessed crop rotation impacts, revealing effective cycles to boost soil health and yields, supporting sustainable farming and improving food security.

I analyzed pizza chain sales data using Python to identify best-selling pizzas, peak sales times,  and key customer segments. The insights supported menu optimization, better inventory planning, and targeted marketing strategies. 

I analyzed Diwali sales data using Python to uncover trends and consumer buying patterns. The analysis identified top products, peak sales periods, and key customer demographics, providing actionable insights to optimize future sales campaigns and marketing strategies.

I analyzed YouTube channel performance using Tableau to identify trends in viewer behavior, video views, and engagement. The insights helped optimize content strategy, improve viewer retention, and enhance future video uploads. 

I analyzed Amazon sales data using Python to identify top-performing products, key sales drivers, and seasonal trends. The insights helped optimize inventory, product listings, and marketing strategies for improved sales and customer engagement. 

I analyzed bird strike data using Python to identify trends, high-risk locations, and contributing factors. The findings helped in understanding seasonal patterns and provided recommendations to enhance aviation safety.

I analyzed crop production data using Python to identify trends, regional variations, and factors affecting yield. The insights helped in understanding key drivers of crop productivity, seasonal patterns, and provided recommendations for optimizing agricultural practices.