Riad Marzouki

A Python and Django web application, destined to dental offices, used to verify patient eligibility and how much insurance coverage is available per procedure. This helps offices get the information they need in a matter of seconds instead of through a 30-40 minute call to the insurance company. This ensures the office will be paid by the insurance company and makes the patient's experience better. The application connects to multiple insurance APIs such as Aetna, and Metlife. It's also equipped with a dashboard built with Amazon QuickSight, which lets the office administrators visualize and analyze data.

Developed a data analysis pipeline for a US company that sells on multiple marketplaces, including Amazon, Shopify, Etsy, and Walmart. The data is routinely fetched for marketplace APIs, cleaned, normalized, and loaded into a data warehouse, then used for analysis and visualization.

Built a web application from scratch that collects data from on-site sensors placed on multiple sites in the city, connected to the internet through gateways, and lets users command actuators. Programmed the ESP32 cards to read data from sensors and send it to gateways through LoRa. Read commands received from gateways and execute them with the actuators. Programmed Raspberry Pi to connect with the web application through MQTT, receive data from sensors, and transferred them to the application. Read commands from the application and transferred them to the actuators.

A Python and Django web application that takes patient medical information as input and, following a decision tree provided by a neurosurgeon, finds the appropriate treatment plan.

When the form is filled, the application suggests a treatment plan to which the physician adds details and then generates a PDF report with all the necessary information that the physician can print and sign.

Amazon PPC management software lets users view data and make bulk operations in ways unavailable through Amazon's management platform. The application is built with Python, React, and PostgreSQL. It is deployed on AWS Lambda and uses AWS EventBridge to keep data synchronized. The main users of the application are advertisement agencies handling 100+ clients.

A leading kosher food distributor serving bakeries, yeshivas, restaurants, and caterers sought to improve efficiency, accuracy, and customer satisfaction. They faced challenges with complex pricing, manual order handling, shipping logistics, invoicing, and sales commission management. To address these issues, advanced management software was implemented.

Key features included automated pricing, efficient order creation, a customer portal, real-time shipping tracking, automated invoicing, and commission tracking. The system also supported vendor bill comparison, anomaly detection, comprehensive reporting, and secure access with IP whitelisting and OTP verification.

As a result, the company saw improved efficiency, consistent pricing, enhanced customer experience, better coordination of shipments, and simplified sales management. The software transformed operations, reducing manual tasks, minimizing errors, and ensuring continued success.