Director Of Launch Lab 21 at School 21 - Digital Engineering School in Uzbekistan
Tashkent, Uzbekistan
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Summary
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Senior
🎓
Top School
Nodira Ibrogimova is a technology leader and director with 9 years of experience building ML-enabled products and expanding tech ecosystems across South Korea, Uzbekistan, Malaysia, Belarus, Cameroon, and the USA. She blends hands-on machine learning and web engineering—evidenced by contributions to the Augur open-source project and building an offline-capable data collection tool for early disease detection—with strategic partnership and education roles that place talent into top companies. As Director of Launch Lab 21 and Partnerships lead at Digital Engineering School 21, she forges industry-academia pipelines and internship channels, notably helping Uzbek women attend Perspektywy Women in Tech and land roles at major firms. A practiced mentor and lecturer, she designs curricula and runs large-scale community events while quietly shipping production improvements like faster web apps and robust text-classification prototypes for open-source analytics.
9 years of coding experience
3 years of employment as a software developer
Course, Data Analytics, Course, Data Analytics at Alif Academy
Bachelor's degree, Information and Communication Engineering, Bachelor's degree, Information and Communication Engineering at Inha University
Information Technology, Information Technology at Perspektywy Women in Tech
Python library and web service for Open Source Software Health and Sustainability metrics & data collection. You can find our documentation and new contributor information easily here: https://oss-augur.readthedocs.io/en/main/ and learn more about Augur at our website https://augurlabs.io
Role in this project:
Data Scientist
Contributions:23 commits, 1 PR, 31 comments in 24 days
Contributions summary:Nodira's contributions center around developing a text classification notebook, indicating a focus on machine learning within the Augur project. They set up dependencies for text classification and explore data pulled from an Augur database. The user formulates a multi-class text classification problem, demonstrating an understanding of data analysis and model selection. Their work suggests an interest in applying machine learning to categorize complaints or issues within the project's data.
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Nodira Ibrogimova - Director Of Launch Lab 21 at School 21 - Digital Engineering School in Uzbekistan