Elham Khorasani

Intensive full-time bootcamp focused on hands-on data science and machine learning projects. Covered Python (NumPy, Pandas), Git, SQL, EDA, data visualization, and core ML concepts like linear regression, regularization, bias-variance trade-off, gradient descent, and evaluation metrics. Completed end-to-end projects including data preparation, model training, and result presentation.

- Leading the development of HL7-to-FHIR mapping tools to enhance - healthcare data integration and achieve substantial cost savings. - Developed handlers to read HL7 messages and convert them to FHIR. - Implemented Kafka testers to ensure reliable data streaming. - Python-based applications development, Database development with PostgreSQL 15.

• Support agile software development processes (Jira). • Program in SAP ABAP and JAVA. • Review and fix software bugs to improve quality. • Conduct software tests for system functionality. • Participate in code reviews. • Document technical designs, code changes, and test plans. • Assist the "Delivery Manager" with release documentation review. This includes design, test, and customer documentation.

• Supporting Research Projects. • Working with Taxi trip datasets. • Detecting and solving code flaws and "clean" data. • Tutor in the ATLANTIS project: a cooperative initiative of the Lower Saxony Chairs of Business Informatics, covering topics such as business intelligence, mobile Business, and information processing in service and industrial companies, and offering practical experience in the application of machine learning and data science concepts.

• Identify relevant data sources for business needs. • Risk Assessment. • Build predictive models. • Improving the data collection process. • Process, cleaning and reviewing data. • Analyse data for trends and patterns. • Assessing data quality and removing or data-cleaning. • Create reports for managers and project teams.