Daniel Hen

Daniel Hen has a diverse work experience in the field of data science and technology. Daniel is currently working as a Data Science Manager at Digital Turbine, where they mentor team members and implements machine learning products in production using various tools like MLeap, Databricks, and Apache Airflow. Daniel has also contributed to the XGBoost open-source project and created CI/CD pipelines for deployment processes.

Prior to their current role, Daniel worked as a Senior Data Scientist at Digital Turbine, where they implemented ML products, conducted algorithm evaluations, performed feature engineering, and handled data cleaning. Daniel also contributed to the XGBoost open-source project and created tutorials for the official documentation.

Daniel's previous experience includes working as a Data Scientist at Fyber, where they implemented ML products, conducted algorithm evaluations, and handled data cleaning. Daniel also contributed to the XGBoost open-source project and wrote tutorials for the official documentation.

Before Fyber, Daniel worked as a Professional Services Engineer at Inneractive, where they wrote technical integrations, performed cross-product debugging, and troubleshooted technical issues for customers and partners.

Prior to their roles in the data science field, Daniel worked as a NOC Engineer at Telefónica, where they were responsible for the operation and monitoring of operational systems and performed back testing of available products.

Daniel also has experience in SAP assimilation, teaching assistant roles, and technical support. Daniel instructed medical teams in using SAP's DWS module during their role at HP and served as a teaching assistant at The Academic College of Tel Aviv Yaffo. Additionally, they provided technical support at SmartSchool.

Overall, Daniel Hen has extensive experience in data science, machine learning, technical integration, and troubleshooting, making him a valuable asset in the technology industry.

Daniel Hen attended The Academic College of Tel-Aviv, Yaffo from 2013 to 2016, where they obtained a Bachelor of Science (B.Sc.) degree in Information Systems. In addition to their formal education, they have acquired several additional certifications. These include completing courses such as "Calculus for Machine Learning and Data Science" from Coursera in July 2023, "Deploying Machine Learning Models" from Udemy in November 2022, "Full Stack Deep Learning" from the University of Berkeley in May 2021, and "Architecting on AWS" from Amazon Web Services (AWS) in November 2020. Daniel also completed several specialization programs including the "Deeplearning.ai Specialization" from Coursera in July 2020 and courses such as "Neural Networks and Deep Learning" and "Deep Neural Networks with PyTorch" from Coursera in April and March 2020, respectively.