Salesforce developer with expertise in configuring custom objects and automating processes to optimize business applications. Demonstrated success in data modeling and security, contributing to impactful projects such as an Employee Management System. Focused on enhancing efficiency and decision-making through innovative reporting and dashboard solutions.
Successfully configured and customized Salesforce to support multiple business applications by creating 20+ custom objects, 50+ fields, and automating 15+ processes using Flows and Workflow Rules. Designed dashboards, reports, and role-based access controls to improve decision-making and data security. Delivered two major projects: an Employee Management System and a Car Rental System, both built end-to-end, with automation and reporting features.
Conducted data analysis on audience engagement and sponsorship performance to deliver insights for internal teams and clients. Maintained databases of key sports metrics, and supported market research that informed strategic decisions for sports organizations. Contributed to real-time data tracking, reporting, and executive presentations for broadcast and digital optimization.
Number plate recognition using Raspberry Pi, built a prototype of an intelligent vehicle monitoring system using Raspberry Pi and OpenCV to detect and extract vehicle registration numbers from images and video frames, key responsibilities included writing Python scripts to process real-time video streams and apply image pre-processing (grayscale conversion, edge detection, contour extraction), training and testing Tesseract OCR to recognize alphanumeric characters from number plates, integrating the Raspberry Pi camera module with the processing pipeline for live testing, participating in field data collection and evaluation to improve accuracy and environmental robustness, documenting the complete project lifecycle, and presenting results to academic reviewers
Digital logic design using a USB LED lamp, demonstrated fundamental digital logic concepts through a microcontroller-based USB LED lamp that responded to programmable input combinations, key responsibilities, designed logic gate circuits using basic combinational and sequential components (AND, OR, NOT, flip-flops), developed and flashed embedded C code to a microcontroller (e.g., ATmega or Arduino) to simulate logic sequences controlling the LED behavior, tested various input scenarios to verify the functional correctness of the logic design, collaborated with team members to build breadboard prototypes and interface with a USB power supply, contributed to circuit diagram creation, testing logs, and final project presentation