Atakan Okan
Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAtakan Okan is a Data Scientist and Machine Learning Engineer based in New York with nine years of experience building production-ready ML systems for finance, research, and industry. He holds an MS in Data Science from NYU and combines expertise in NLP, computer vision, and generative models (GANs/VAE) with strong statistical and time-series skills applied to alternative data and quant research. His work spans the full ML lifecycle—ETL, feature engineering, model development, deployment, and monitoring—using tools from PyTorch/TensorFlow and Spark to Airflow, MLflow, and Docker. A paper on using GANs for cosmic neutral hydrogen was accepted to NeurIPS 2019, reflecting a rare blend of academic research and production focus. At Millennium and Schonfeld he drove NLP-driven data enrichment and quantitative signals, while earlier roles at the Simons Foundation and Insight highlight an appetite for novel model architectures and automated systems. He pairs practical engineering (SQL/NoSQL, cloud, testing) with research curiosity, often tackling messy real-world data to extract predictive edge.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at New York UniversityRobert CollegeBachelor’s Degree, Management Science and Engineering, Bachelor’s Degree, Management Science and Engineering at Istanbul Technical University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (154)
dependency-management10
python10
annotations10
standardized10
datasets10
cython10
label-studio10
labeling10
bounding-box10
training-data10
financial-markets10
computer-vision10
nlp10
data-labeling10
dependency-manager10
Programming languages (8)
Github contributions (5)
NYU-CDS-Capstone-Project/HydroGAN
Oct 2018 - Dec 2018
Contributions:78 pushes, 1 branch in 2 months
atakanokan/SyntaxSQLNet
Jan 2019 - Apr 2019
Contributions:9 commits, 6 pushes, 1 branch in 2 months
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