Nathan Urinovsky
Summary
Team player Data Analyst with 2 years of experience in insights extraction through data analysis and visualization. Training ML models for classification problems and DL models for Object Detection tasks.
Overview
2
2
years of professional experience
Work History
Research Assistant
Tel Aviv University
03.2024 - Current
- Participated actively in regular meetings with fellow researchers to discuss project updates.
- Trained Deep Learning models for Object Detection tasks.
- Used Python for data preparation and various other tasks, as well as OpenCV for computer vision tasks.
- Results of trained models used in multiple academic papers.
Data Analyst
J6 & Cyber Defense Directorate, IDF
03.2022 - 03.2024
- Used Python for preparing and manipulating data with Pandas and Numpy.
- Trained Machine Learning models for classification problems using Scikit-learn.
- Crafted SQL queries for data extraction.
- Built dashboards using QlikSense and used Python's Matplotlib and Seaborn for data exploration, visualization, and insight extraction.
Education
High School Diploma -
Ort Yad Leibovich
Netanya06.2021
Skills
- Python
- Pandas
- Numpy
- Matplotlib
- Scikit-learn
- Seaborn
- PostgreSQL
- QlikSense
- Git
- Deep Learning
Additional Information
Publication
"Using Deep Learning for Object Detection in Aerial ImagesUsing Deep Learning for Object Detection in Aerial Images" Towards AI · Jan 16, 2022
Languages
Hebrew
Native language
English
Proficient
C2
Timeline
Research Assistant
Tel Aviv University
03.2024 - Current
Data Analyst
J6 & Cyber Defense Directorate, IDF
03.2022 - 03.2024
High School Diploma -
Ort Yad Leibovich
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