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@mikuniaroz
Data scientist with expertise in machine learning and Python development.
I am a passionate data scientist with over 5 years of experience specializing in Python development and end-to-end machine learning implementation. My journey has taken me through various roles, from a Junior Front-End Developer to a Research Assistant, where I developed deep neural networks for medical imaging. My work has not only involved technical development but also collaboration with medical professionals to enhance diagnostic capabilities.
At Bar Ilan University, I successfully designed and implemented a deep neural network model from scratch, focusing on unsupervised learning and medical image processing. My publication on unsupervised contrast enhancement of vertebral structures showcases my commitment to advancing the field. I have also worked at Radware, where I developed machine learning models for real-time malware detection, significantly improving cybersecurity operations.
My technical skills encompass a wide range of machine learning algorithms, programming languages, and tools. I thrive in environments that challenge my analytical abilities and allow me to contribute to impactful projects. I am eager to leverage my expertise in a role that fosters innovation and collaboration.
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Work history, roles, and key accomplishments
Bar Ilan University
Jan 2020 - Present (5 years 10 months)
Developed and designed a deep neural network (DNN) model for unsupervised learning and a deep understanding of the requirements for processing medical images. Developed a model from scratch, managing every stage from initial design to implementation. This included the DNN model and the creation of preprocessing techniques and performance evaluation protocols.
Radware
Jan 2019 - Present (6 years 10 months)
Conducted analysis of network traffic patterns, identifying anomalous behavior and reducing the load on cybersecurity teams by up to 20%. Developed and implemented machine learning models, including Random Forest, Gradient Boosting, SVM, and clustering algorithms for real-time malware detection.
Intel
Jan 2017 - Present (8 years 10 months)
Implemented Java automation and features for real-time platforms and debug tools for silicon validation. Created STPs (Software Test Plan) for debug tools based on face-to-face customer acceptance criteria, enhancing customer satisfaction.
Insights.US
Jan 2015 - Present (10 years 10 months)
Developed on creating user interface features, improving the overall user experience. Build responsive website for desktop devices using HTML and CSS, as well as third-party libraries such as jQuery, Angular and React.
Partner Communications Ltd
Jan 2014 - Present (11 years 10 months)
Worked with CRM/ERP systems, deployed new hardware, and evaluated software and security risks. Configured and managed backup and restore procedures, ensuring the security and integrity of billing processes.
Degrees, certifications, and relevant coursework
M.Sc, Computer Science
Pursued a Master of Science in Computer Science, deepening knowledge in advanced computing concepts and research methodologies. Focused on specialized areas within computer science, preparing for high-level technical roles.
B.Sc, Computer Science and Biology
Completed a Bachelor of Science degree, gaining foundational knowledge in both Computer Science and Biology. This interdisciplinary study provided a comprehensive understanding of computational principles and biological systems.
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