Amit Blizer
About Amit Blizer
Amit Blizer is a Data Scientist based in Tel Aviv District, Israel, currently working at Nano Dimension since 2022. He has a strong background in atmospheric physics, data science, and deep learning, with previous experience as a Scientific Researcher at the Volcani Institute and a Data Analyst at Comverse.
Work at Nano Dimension
Amit Blizer has been employed as a Data Scientist at Nano Dimension since 2022. He works in the Tel Aviv District of Israel in a hybrid capacity. In this role, he focuses on building deep learning models to address predictive problems, which include both numeric and natural language processing tasks. His expertise in data science contributes to the development of innovative solutions within the company.
Previous Experience at Volcani Institute
Before joining Nano Dimension, Amit worked at the Volcani Institute as a Scientific Researcher and Geo Data Scientist from 2020 to 2022. During his tenure in the Tel Aviv District, he engaged in hybrid work, applying his skills in data science to scientific research. His role involved examining feature weights using deep learning methods to identify those with the highest impact on target parameters.
Data Analysis at Comverse
Amit Blizer served as a Data Analyst at Comverse from 2016 to 2020. This four-year position was also based in the Tel Aviv District, where he worked in a hybrid model. His responsibilities included restructuring and aggregating fragmented datasets to detect modes and phases, as well as identifying frequency and magnitude of anomalies. He also analyzed sensor patterns and presented results through complex plots using interactive Python visualization packages.
Education and Expertise
Amit Blizer holds a Master's degree in Atmospheric Physics and Dynamics, as well as Data Science and Deep Learning, which he earned from Bar-Ilan University from 2021 to 2023. He also obtained a Bachelor's degree in GIS, Remote Sensing, Geology, and Climate and Cities Planning from the same institution, completing his studies from 2018 to 2022. His educational background provides a strong foundation for his work in data science and environmental analysis.
Specialization in Deep Learning and Weather Models
Amit specializes in downscale methods that leverage statistics, deep learning algorithms, and neural networks to enhance spatial resolution in weather models. His work involves examining feature weights and utilizing advanced deep learning techniques to develop models that address complex predictive challenges. This specialization supports his contributions to various projects in the field of data science.