Anar Sultani
Senior Data Scientist
Budapest, Hungary
Summary
👤
Senior🎓
Top SchoolAnar Sultani is a Senior Data Scientist based in Budapest with nine years of experience building production-grade ML solutions across forecasting, anomaly detection, NLP and causal inference. He has led end-to-end model development and MLOps on AWS—SageMaker, Step Functions and CI/CD—delivering scalable forecasting and optimization systems for manufacturing at Jabil. Previously in R&D at Realeyes he tied multimodal media pipelines to viewer attention and emotion, running experiments and A/B tests for clients including Alibaba and Meta while building automated data quality checks with Athena and Terraform. Comfortable translating complex models into business-ready insights and dashboards, he excels at making data understandable for cross-functional stakeholders. A pragmatic engineer with a design background, he often blends product sensibility with technical rigor to turn noisy, unstructured sources into actionable signals.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Khazar University
Azerbaijani, Turkish, English, Russian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (31)
regression-analysis6
supervised-learning5
naive-bayes5
regression5
audio-classification5
solve5
classification5
pattern-recognition4
vector4
react-redux4
machine-learning4
nlp4
turkish4
deep-learning3
audio3
Programming languages (4)
Github contributions (5)
AzerbaijanOpenSourceCommunity/Support-Vector-Machine-Neural-Networks
Oct 2018 - Oct 2018
In machine learning, support vector machines are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis
Contributions:24 commits, 2 PRs in 1 day
k-meansanalyze-datavectorregression-analysisclassification
anarsultani97/Natours
Jan 2018 - Apr 2018
Contributions:15 PRs, 40 pushes, 11 branches in 3 months
templatelearning-purposepurpose
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