Mykhailo Kulakov
Bis 2019, Working Student at Security for Machine Learning Department, NXP Semiconductors Germany
Bis 2021, Data Engineering & Analytics, TU München
München, Deutschland
Werdegang
Berufserfahrung von Mykhailo Kulakov
Bis heute 4 Jahre und 6 Monate, seit 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 Jahr und 11 Monate, Feb. 2018 - Dez. 2019
Working Student at Security for Machine Learning Department
NXP Semiconductors Germany- 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 Jahre, Okt. 2019 - Sep. 2021
Data Engineering & Analytics
TU München
- Data Engineering - Machine Learning - Cloud computing
- Bis heute
Informatik
HAW Hamburg
Sprachen
Deutsch
Gut
Englisch
Fließend
Russisch
Muttersprache
Ukrainian
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