Alireza Izadshenas

Bulit Cloud ETL Pipeline on Microsoft Azure; Provided unstructured and structured data with Office 365 Management APIs from Microsoft Teams and PowerBi using common standard approaches, including OAuth v2 and JSON; Data Anonymization of protecting private or sensitive information by erasing or encrypting, and masking; Text analyses with machine learning techniques from Microsoft Cognitive Service.

Developed Machine Learning models for Digital Transformation using Python libraries as Cloud-based software in Microsoft Azure and Desktop App with Tkinter; Supported the development of data pipelines for the retrieval of data from the Azure Data Lake as well as the modeling of the provision using a web API hosted in the cloud; Developed Web Application; Run TDD to check the functionality of the code in Python; Data Transformation by PySpark, and Data Visualization with Python and Power BI.

Developed Machine Learning Models with Python libraries, Deep Learning models with Keras and TensorFlow on Google Colab, and Rule based methods with PySpark for the recommender system; Performed Customer Data Analysis; Developed Web Application with JavaEE, Maven, PostgreSQL, Hibernate, Primefaces, and Web Scraping with Python for the functionality of the recommender system.

Developed Webservice in Java and using Spring, Maven, XML Parsing, Project Documentation with Confluence & Jira.

Developed HIS Software for IK Hospital Complex, Tehran, Iran; Developed an integrated Efficiency Management and Accounting System for 12 Hospitals in Tehran, Iran, with Java, Oracle, PostgreSQL, Primefaces, Hibernate, Apache Tomcat.