Projects
Over the years, I have led and contributed to diverse projects across industries, with a focus on data analytics, product management, and AI-driven solutions. My work includes developing AI-powered systems for autonomous traffic enforcement, such as offender apps and analytics dashboards, and designing a robust result management platform for a European Union-sponsored electoral project.
Additionally, I have leveraged data analytics to enhance operational performance, including People Analytics for productivity and camera network monitoring. By delivering innovative solutions like integrating vehicle insurance sales, I have helped achieve significant revenue growth. I have also built scalable APIs to provide real-time analytics for dashboards, supporting informed decision-making across organizations.
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Selected Projects
Fast API Analytics Service
I developed a powerful FastAPI-based framework as part of an electronic enforecement solution, streamlining traffic enforcement and data analytics. This system integrates seamlessly with MS SQL and MongoDB databases, enabling efficient data processing and storage. Through its versatile endpoints, the platform supports critical functionalities such as traffic violation analytics, camera and network monitoring, and election result aggregation.
Key features include advanced filtering, drill-down capabilities, and real-time data visualization tailored for dashboards, ensuring actionable insights for administrators and stakeholders. This project exemplifies my expertise in building scalable and impactful backend systems for data-driven applications.
Daily Performance Dashboard
I designed and implemented a comprehensive Power BI dashboard to monitor daily operational and financial performance. This solution provided real-time insights into key metrics, including revenue, fine conversion rates, field officer productivity, and operational efficiency. By leveraging advanced data modeling techniques and interactive visualizations, the dashboard empowered stakeholders to make informed decisions quickly. The project played a pivotal role in optimizing resource allocation, improving performance tracking, and driving overall business growth.
Customer insights for marketing analytics
I designed this Customer Insights Dashboard using Power BI to provide a detailed analysis of customer demographics and purchasing behavior for effective marketing strategies. The dashboard offers insights into customer distribution by gender, education, marital status, homeownership, and commute distance. It also explores purchasing trends based on factors like income, car ownership, and regional location.
This interactive and visually engaging tool helps businesses identify key customer segments, customize marketing campaigns, and improve targeting efforts to drive sales and enhance customer engagement. By showcasing the power of data visualization, this project demonstrates my ability to create impactful solutions that support data-driven decision-making in marketing.
Vehicle plate number classifier engine
I developed a Plate Number Classifier Engine using Python and a Naive Bayes algorithm to enhance vehicle identification and classification processes. This solution leverages advanced machine learning techniques to accurately classify plate numbers based on predefined patterns and datasets.
The engine plays a critical role in automating traffic enforcement and surveillance tasks, ensuring high accuracy in recognizing and categorizing vehicles. Its efficiency and reliability make it an essential component for applications such as traffic management, toll collection, and security systems.
Election Results Webscrapper
I developed a robust web scraper using Python and Selenium to automate data extraction from dynamic websites. This tool efficiently navigates web pages, interacts with elements, and extracts structured data for analysis and reporting.
The scraper is designed to handle complex tasks, such as authentication, form submissions, and dynamic content loading, making it highly versatile for applications like market research, competitor analysis, and content aggregation. By automating repetitive data collection processes, this project demonstrates my proficiency in leveraging web scraping technologies to enhance operational efficiency and data-driven decision-making.