Mykhailo Kulakov
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Mykhailo Kulakov
- Current 6 years and 2 months, since Apr 2020
Working Student Data Science
IMSP
- designed a statistical model to estimate the user’s potential fraud score by clustering and analyzing the user history data, which led to 35% increase in detection accuracy of fraud cases (pandas, NumPy) - built an automated recommendation system based on customers purchase history by utilizing various regression models; clients satisfactory rate improved by 23% and the total number of purchases increased by 12% - consulted European Central Bank employees in data collection and pre-processing tasks
- 1 year and 11 months, Feb 2018 - Dec 2019NXP Semiconductors Germany
Working Student at Security for Machine Learning Department
- implemented a novel Machine Learning approach for detection of out-of-domain samples, which achieved up to 85% accuracy on CIFAR-10 dataset - integrated the proposed approach into five popular Machine Learning classification networks, which led to an increase of model’s robustness against out-of-domain and adversarial attacks by 30% (Python, TensorFlow)
Ausbildung von Mykhailo Kulakov
- 2 years, Oct 2019 - Sep 2021
Data Engineering & Analytics
TU München
- Data Engineering - Machine Learning - Cloud computing
- Bis heute
Informatik
HAW Hamburg
Sprachen
German
B1-B2 (Gute Kenntnisse)
English
C1 (Fließend)
Russian
C2 (Verhandlungssicher / Muttersprachlich)
Ukrainian
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