Lead data was scattered across spreadsheets and email, making it impossible for sales teams to prioritize and track prospect engagement effectively.

Built a centralized CRM dashboard with a custom pipeline view, automated lead scoring based on email activity, and real-time notification integration.

• Increased lead conversion rate by 25%.
• Improved sales team efficiency by standardizing the follow-up process.
• Provided clear visualization of sales bottlenecks.

Developed a real-time tracking application integrated with external GPS hardware APIs. Features included geo-fencing, fuel consumption reports, and automated service reminders.

• Reduced fuel costs by 12% through optimized route planning.
• Decreased unplanned downtime by 30%.
• Enabled real-time communication with drivers via the portal.

The manual clock-in system was inefficient, leading to time theft and inaccurate payroll data for over 500 employees.

Developed a cross-platform (Web/Mobile) face recognition system using OpenCV and deep learning models (Facenet). Integrated with existing HR payroll software via REST API.

• Achieved 99.8% accuracy in employee identification.
• Reduced time theft incidents by 80%.
• Automated payroll processing, saving 15 hours/week for HR staff.