Oleksandr Honchar
Co-Founder & CTO at Neurons Lab
Madrid, Community of Madrid, Spain
Summary
🤩
Rockstar🎓
Top SchoolOleksandr Honchar is a Co-Founder and CTO with 12 years of experience turning AI research into production value for banks and asset managers, currently leading strategic development and cross-functional AI excellence at Neurons Lab in Madrid. He combines a strong academic foundation in mathematics with hands-on entrepreneurship—co-founding two startups, teaching at multiple universities, and participating in Y Combinator—to bridge rigorous theory and practical deployment. A practitioner of deep learning for financial time series, his open-source work includes algorithmic trading experiments exploring MLPs, CNNs, and RNNs for market prediction. He’s also an educator and communicator, with a widely read blog, 20+ public talks across Europe and Asia, and research cited 500+ times, reflecting both technical depth and a talent for explaining complex ideas.
12 years of coding experience
Master's degree Mathematics, Master's degree Mathematics at Università degli Studi di VeronaEntrepreneurship/Entrepreneurial Studies, Entrepreneurship/Entrepreneurial Studies at Y CombinatorIgor Sikorsky Kyiv Polytechnic Institute
Russian, English, German, French, Italian, Ukrainian, Spanish
Github Skills (10)
neural-network10
pandas10
keras10
machine-learning10
time-series10
python10
algorithmic-trading10
data-analysis10
scikit-learn9
scikit9
Programming languages (4)
Github contributions (5)
Rachnog/Deep-Trading
Jun 2016 - Aug 2018
Algorithmic trading with deep learning experiments
Role in this project:
Data Scientist
Data ScientistContributions:26 commits, 22 pushes, 1 branch in 2 years 2 months
Contributions summary:Oleksandr contributed significantly to the development of algorithmic trading strategies leveraging deep learning techniques, as evidenced by the "deep-trading" repository description. They focused on exploring various neural network architectures, including MLPs, CNNs, and RNNs, for time series forecasting and financial data analysis. Their work involved preprocessing, model building using Keras, and evaluating performance. The user explored different models for binary classification to forecast if price will go up or down.
pythonalgorithmic-tradingdeep-learningmachine-learningtrading
Rachnog/education
Oct 2016 - Jul 2021
Contributions:42 commits, 40 pushes, 1 branch in 4 years 9 months
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