An interactive Power BI dashboard designed to analyze British Airways’ key performance metrics including revenue, passenger trends, route efficiency, and regional growth.
The dashboard highlights KPIs like total revenue, flight frequency, and customer satisfaction while offering dynamic filters by year, route, and class. This project showcases data visualization, DAX modeling, and storytelling for strategic aviation insights.
This dashboard enables data-driven decision-making by identifying profitable routes, optimizing fleet utilization, improving customer experience, and forecasting future demand—empowering management to enhance operational efficiency and strategic planning.
A Power BI dashboard visualizing BMW’s sales performance across Africa, tracking total revenue, quantity sold, model popularity, and regional distribution with interactive slicers for month and year.
The dashboard integrates KPIs such as total revenue, average price, and top-performing models, supported by dynamic visuals and real-time model images for a refined analytical experience.
This dashboard helps identify market trends, optimize sales strategies, and evaluate regional performance—enabling data-driven decisions that enhance forecasting accuracy, resource allocation, and overall business growth for BMW’s African market.
A compilation of academic projects completed during my B.Tech in Data Science & Engineering, focusing on applying data analytics, visualization, and AI to solve real-world problems across diverse industries.
Projects include Cadbury Market Analysis, ENOC Marketing Optimization, and Endangered Species Monitoring using Deep Learning, highlighting skills in Python, Power BI, and geospatial data modeling.
These works demonstrate my ability to translate raw data into meaningful insights, supporting evidence-based strategies in marketing, sustainability, and operations.