Ulukbek A.

AI Researcher

Stockholm, Stockholm County, Sweden12 yrs 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in machine learning and recommendation systems.
Proven track record in data-driven decision making.
Awarded Bronze Medal in Mathematics.

Stackforce AI infers this person is a Data Scientist specializing in E-commerce and recommendation systems.

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Skills

Core Skills

Machine LearningData Mining

Other Skills

Apache SparkArtificial IntelligenceBig QueryHiveKerasNatural Language ProcessingPySparkPythonPytorchScala

About

https://databricks.com/speaker/ulukbek-attokurov https://aclanthology.org/people/u/ulukbek-attokurov/ https://www.amazon.com/Multi-Document-Summarization-Using-Distortion-Rate-Ratio/dp/3330066059 Bronze Medal in Mathematics, Honour Student Of Department, Turkish Government Scholarship, Deep Learning Conference of Turkey 2015, 2016; Data + AI Europe conference of DataBricks 2020; Association of Linguistic Computation conference 2014; U. Attokurov, O. Kaya and M. S. Sezgin, "Product Recommendation Based on Embeddings: People Who Viewed This Product Also Viewed These Products," 2022 IEEE International Conference on Big Data and Smart Computing (BigComp), 2022, pp. 296-299, doi: 10.1109/BigComp54360.2022.00063.

Experience

H&m

Senior Data Scientist at Recommendation Team

Jun 2022 – Present · 3 yrs 9 mos · Стокгольм, Лен Стокгольм, Швеция

Hepsiburada

3 roles

Senior Data Scientist at Recommendation Team

Feb 2021 – Jun 2022 · 1 yr 4 mos

View-to-view recommendation with Siamese networks(optimize CTR using contrastive loss);
Content based recommendation using product title and Siamese LSTM networks;
tools: Pytorch, PySpark, Python, Hive, Python

PytorchPySparkPythonHiveMachine LearningData Mining

Data Scientist at Recommendation Team

Jan 2020 – Feb 2021 · 1 yr 1 mo

Image based recommendation using Resnet, Inception and VGG and Approximated KNN algotihms;
Frequently bought together recommendation using Word2Vec;
Alternative recommendation using Word2Vec;
Product Attribute based recommendation using Doc2Vec;
Ad hoc analysis of A/B testing results;