Rami AlSalman

Rami is a highly accomplished data scientist with a strong background in computer science and cognitive systems. Holding a Doctor of Engineering Science (Dr.-Ing.) in Computer Science (AI) from the University of Bremen, Germany, Rami achieved a magna cum laude distinction for their dissertation on "Qualitative Spatial Query Processing: Towards Cognitive Geographic Information Systems."

As a Senior/Lead Data Scientist at Uniper Oil & Gas in Düsseldorf, Germany, [Your Name] has led analytics, machine learning, and big data projects. They excel in building streaming and big data applications using Spark and have developed algorithmic surveillance methods for anomaly detection in time series data. Their expertise includes developing ETL pipelines using Talend to move data between various sources like ORACLE DWH and SQL databases on Azure. Rami has also developed streaming applications for real-time analytics, utilizing technologies such as Databricks, PySpark, eventshub on Azure, delta tables, and snowflake. They possess skills in building complete pipelines (DevOps) for code deployment across environments.

As a Lead Instructor at WBS AG,Rami teaches data science and advanced analytics topics remotely, providing valuable instruction to learners at https://www.wbscodingschool.com/.

Previously, Rami served as a Senior Data Scientist at trivago, where they utilized NLP to develop an innovative matching system for hotel partners. They also contributed to the next generation of recommendation systems, incorporating AI and machine learning techniques like deep learning, ANN, random forests, and boosting trees. Rami excelled in developing efficient information retrieval systems capable of handling millions of user queries.

With expertise in Python, Java, cloud technologies, machine learning, data mining, NoSQL and RDBMS databases, deep learning frameworks, and more, Rami is a versatile professional. He has experience with GCP, Azure, AWS, Neo4j, MongoDB, ElasticSearch, PostgreSQL/PostGIS, MySQL, ORACLE, PySpark, Databricks, DeepLearning4J, scikit-learn, and gensim.
Rami has presented at international AI industrial conferences and summits, further establishing their expertise and thought leadership in the field.

With a strong academic background, extensive industry experience, and a versatile skill set, Rami brings valuable knowledge and expertise to data science and advanced analytics projects. His leadership abilities, innovative thinking, and effective communication make him an asset in driving business success.