Senior Data Scientist
- Verfügbarkeit einsehen
- 0 Referenzen
- 80‐100€/Stunde
- nicht angegeben
- auf Anfrage
- uk | ru | en
- 01.08.2023
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
10/2022 – 3/2023
TätigkeitsbeschreibungDeveloped a general strategy for solving a class of transportation optimization problems using metaheuristic approaches, implemented it as a POC version in C language, and researched the capabilities. Developed a starter kit for predictive maintenance in manufacturing, prepared and published a corresponding article.
Eingesetzte QualifikationenKeras, Mathematik, Python, Statistik (allg.), TensorFlow
10/2021 – 9/2022
TätigkeitsbeschreibungDeveloped a general strategy for solving high-dimensional anomaly detection problems in manufacturing, implementedand researched its POC version and a starter kit. Developed starter kits for predictive maintenance in manufacturing and for price optimization in retail projects. Prepared research articles for Grid Dynamics blog. Consulted team members on applied statistics and probability. Technologies: Vertex AI (AutoML), Google Colaboratory, Python, C language, Tensorflow + Keras, applied statistics and mathematics, etc.
Eingesetzte QualifikationenData Science, Mathematik, Statistik (allg.), TensorFlow, Python, Google Cloud
7/2020 – 10/2021
TätigkeitsbeschreibungDeveloped ML-models and statistical procedures for predictive analytics of sales and demand. Implemented the models, performed their training, optimization, and deployment into the production environment. Performedroutine exploratory and descriptive data analysis. Programmed scripts for data visualisation. Consulted team members on ML, applied statistics and probability. Technologies: Python, Keras, Tensorflow, Flask, Gunicorn, Docker, Matplotlib, Seaborn, PostgreSQL, etc.
Eingesetzte QualifikationenData Science, Keras, Mathematik, PostgreSQL, Python, Statistik (allg.), TensorFlow
8/2018 – 4/2020
TätigkeitsbeschreibungDeveloped statistical and ML-based algorithms for fraud detection, data exploration and visualisation. Implemented the algorithms in Python. The algorithms successfully work in the production environment and helped to detect potentially new types of fraud. Consulted team members on applied statistics and probability. Technologies: Python, Jupyter Notebook, C, ClickHouse, SQL, applied mathematics and statistics, etc.
Eingesetzte QualifikationenData Science, Keras, Mathematik, Python, SQL, Statistik (allg.), TensorFlow
5/2013 – 4/2018
TätigkeitsbeschreibungPerformed probabilistic analysis and simulation of stochastic games, reverse engineering of various algorithms. Developed new bookmaking strategies with optimized risk management and investigated them via statistical simulation and ML-based model identification. Tested recruited candidates for their skills in statistics, probability, and data analysis. Consulted colleagues on applied statistics and probability. Technologies: C-language, bash, Linux, applied mathematics and statistics, etc.
Eingesetzte QualifikationenC++, Data Science, Linux (Kernel), Mathematik, Perl, Python, Statistik (allg.)
4/2007 – 8/2018
TätigkeitsbeschreibungDeveloped new observational strategies for the radio telescope UTR-2. Developed signal processing, data analysis and visualization algorithms for the radio telescope. Implemented the algorithms in C language for the production environment. Performed radio-astronomical observations of various astrophysical objects at UTR-2. Wrote research papers. Technologies: Linux/UNIX, C, OpenGL, applied statistics and mathematics, specialized software for control of UTR-2, Python.
Eingesetzte QualifikationenData Science, Mathematik, Signalverarbeitung, Statistik (allg.)
Ausbildung
National Aerospace University "Kharkiv Aviation Institute"
Kharkiv, Ukraine
Über mich
Data scientist - statistician - mathematician with broad experience in practical and theoretical data science. A firm background in statistics, machine learning, programming, applied mathematics, scientific research. Excited by challenging problems requiring unconventional approaches. A life-long learner: likes to learn
new ideas and tools and to apply them in practice. Likes both autonomous and team work.
PROFESSIONAL SKILLS:
• Machine learning: neural networks, autoencoders, anomaly detection, tailor-made ensemble methods, time-series forecasting, predictive modelling, manifold learning, xgboost, etc.
• Statistics: non-classical approaches (bootstrap, permutation tests, data-based simulation), multivariate analysis, regression, hypothesis testing, descriptive statistics, dimensionality reduction, applied probability theory, time series analysis, statistical signal processing, spectral analysis, etc.
• Optimization: Metaheuristic optimisation (fast tailor-made implementation in C language), linear programming, mixed integer programming (OR-Tools), programmatic code generation for OR-Tools
• Platforms: Linux/UNIX, comfortable with command line tools and bash scripting.
• Programming in Python: data analysis and statistics (pandas, NumPy, SciPy, statsmodels), machine learning (TensorFlow 2 + Keras, scikit-learn), graphics (matplotlib), visualization (mplot3d, seaborn, mayavi), DB (clickhouse, pandasql), parallel computing (Dask), Jupyter/Colab notebooks, PEP8-compliant coding, etc.
• Programming (other): C Language, bash (scripting, automation), tailor-made Python-modules in C
(ctypes); HTML and Latex/TeX (for atomated report generation); earlier experience in C++, Perl, R.
• Productionalization: Flask + Gunicorn + Docker.
• Version control: Git.
• Databases: generic SQL, ClickHouse, PostgreSQL.
• Mathematical modelling: statistical simulation of various processes, Monte Carlo methods, etc.
• Other: An interest in Mathematical Finance, Economics, and econometrics. An interest in natural sciences.
Weitere Kenntnisse
• Communication skills: fluent English, presentations at international scientific conferences, writing reports and research papers in English.
• Languages: English (C1), Ukrainian (native speaker), Russian (native speaker), German (A1+).
• Mentoring: likes to share his knowledge, expertise, and code with colleagues.
Persönliche Daten
- Ukrainisch (Muttersprache)
- Russisch (Muttersprache)
- Englisch (Fließend)
- Deutsch (Grundkenntnisse)
- Europäische Union
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