Olga Lyudchik

Angestellt, Big Data Engineer Working Student, LogMeIn Inc.
Abschluss: Master of Science, Technische Universität Dresden
Dresden, Deutschland

Fähigkeiten und Kenntnisse

Research
Data Engineering
Anomaly Detection
Machine Learning
Python
Java
Scala
Data Analysis
Teamwork
Team Leading
AWS SageMaker
Tensorflow
scikit-learn
Git
Java Embedded Python (Jep)
SQL
Agile

Werdegang

Berufserfahrung von Olga Lyudchik

  • Bis heute 6 Jahre und 2 Monate, seit Juni 2019

    Master Thesis Student

    LogMeIn

  • Bis heute 6 Jahre und 6 Monate, seit Feb. 2019

    Big Data Engineer Working Student

    LogMeIn Inc.

    Working on investigation of stream-based machine learning techniques for anomaly detection scenarios (Python, Scala): • Application of existing machine learning algorithms and frameworks in streaming environments (Apache Flink and Apache Spark) • Implementation of batch-driven as well as online machine learning models for the aforementioned DSPEs • Evaluation and comparison of both implementations with respect to their scalability and modelling capabilities

  • 8 Monate, Juni 2018 - Jan. 2019

    Big Data Engineer Intern

    LogMeIn Inc.

    Was working on definition and implementation of a machine learning system for the detection of abnormal behaviour within the LogMeIn RTC infrastructure (Python): • Applied deep learning-based anomaly detection techniques with AWS Sagemaker and Tensorflow • Collected anomalies in audio quality data and validated the system with them using statistical methods • Performed hyperparameter tuning job of models using Bayesian optimization in Sagemaker

  • 7 Monate, Nov. 2016 - Mai 2017

    Research Assistant

    Belarusian State University

    Was working in a research group on developing a method for recording information inside optically transparent materials, based on the phenomenon of laser breakdown and precision laser treatment (MATLAB).

  • 3 Monate, Juni 2016 - Aug. 2016

    Summer Research Intern

    CERN

    Was working in a Caltech Group at LHC's CMS Detector on developing new machine learning algorithms for outlier detection using deep autoencoder (Python). Attended a series of lectures, discussion sessions on a wide range of topics in the fields of physics and computing.

  • 3 Monate, Juli 2015 - Sep. 2015

    Summer Research Intern

    Helmholtz-Zentrum Dresden-Rossendorf (HZDR)

    Was working on creating an application with a GUI running on the Host-PC to interact with FPGA device over Ethernet (Qt C++): • Provided a terminal to transmit simple text messages to the FPGA device and captured the response • Acquired a fast incoming data stream from the FPGA device • Showed the data in the oscilloscope graph in real-time • Calculated the FFT of the shown signal

Ausbildung von Olga Lyudchik

  • 2017 - 2019

    Distributed Systems Engineering

    Technische Universität Dresden

  • 2013 - 2017

    Radiophysics and Computer Technology

    Belarusian State University

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

  • Russisch

    Muttersprache

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