Mohamed MAZLIN

• Designed a solution for monitoring KPIs of an MLOps platform, leveraging Azure Databricks and Azure Data Lake. • Built end-to-end data pipelines using PySpark, Databricks SDK, Azure Log Analytics, and Delta tables, following the Medallion Architecture (bronze, silver, and golden layers). • Developed production-grade SQL queries for Platform KPIs measurements. • Created an insightful, real-time Databricks dashboard to visualize the evolution of KPIs over time. • Collaborated actively with the Scrum Master, Product Owner, and Product Manager within an agile setting using Jira.

• Designed data storage using SQL Server Database for structured data and Azure Data Lake for unstructured data. • Developed Python notebooks on Azure Databricks to collect data from different media sources, including scanned newspapers (PDF), YouTube videos, Google News, and APIs. • Leveraged Azure AI services such as Custom Vision, Speech-to-text, and Sentiment Analysis to process and analyze the unstructured media raw data. • Set up efficient ETL pipelines with Azure Data Factory to automate data collection, storage, and analysis. • Collaborated actively with the software engineering and marketing teams within an agile settings using Azure DevOps Boards.

• Built Flask APIs to perform image processing and OCR on printed and handwritten medical prescriptions using open-source Python libraries (Opencv, Pillow, and PyTesseract) and leveraging the Google Vision API to extract relevant data. • Web scraped a medicines database using Beautiful Soup and applied string similarity techniques to match OCR-extracted medicine names based on prices.