Khadijah L

Data Analyst

Auto One • Meio período

Dec 2025 - Present • 9 mos

When I joined Auto One automotive venture, the mission was clear: redefine mobility through data-driven innovation. The company was building intelligent solutions for vehicle performance, customer experience, and operational efficiency—and I was tasked with turning raw data into actionable insights that could steer the business forward. Transforming Data into Strategic Decisions In the fast-paced automotive industry, every decision—from supply chain optimization to predictive maintenance—relies on accurate, timely data. My role was to design and implement analytical frameworks that could process millions of data points from connected vehicles, dealership transactions, and customer feedback channels. I developed real-time dashboards using Power BI and Tableau, enabling executives to monitor KPIs such as fleet utilization, fuel efficiency, and service turnaround times. These dashboards reduced reporting delays from days to minutes, empowering leadership to make faster, evidence-based decisions. Key Achievements Predictive Maintenance Model: Built a machine learning model in Python that analyzed sensor data to predict component failures up to 30 days in advance, reducing unplanned downtime by 22%. Customer Segmentation: Applied clustering algorithms to segment customers based on driving patterns and service history, enabling targeted marketing campaigns that increased service bookings by 15%. Supply Chain Optimization: Created a data pipeline using SQL and AWS Redshift to track parts inventory in real time, cutting excess stock by 18% and improving order fulfillment speed. Data Quality Initiative: Led a cross-functional project to clean and standardize historical vehicle data, improving accuracy for analytics and compliance reporting. Collaboration Across the Ecosystem My work wasn’t just about crunching numbers—it was about bridging the gap between data and decision-makers. I collaborated with: