CV
Nadiia Novakova published on
5 min, 850 words
Dr. Nadiia NovakovaData ScientistBirthday: 27th of April 1985Contact: nadiia.novakova at gmail dot com, cell: +49 152 389 932 26 Code: https://github.com/nnovakova Blog-posts: https://nnovakova.github.io |
Education:
- Ph.D. in Computer Science 12.2007-02.2014, Donetsk National University (DNU), Ukraine
- Master in Applied Economy 09.2006-01.2009, DNU, Ukraine
- Master in Computer Science (Diploma with honors) 09.2006-06.2007, DNU, Ukraine
- Bachelor in Computer Science (Diploma with honors) 09.2002-06.2006, DNU, Ukraine
Summary: 13 years of professional experience in the field of Data Science, Machine Learning and Software Development.
Development practice:
- Feature Engineering
- CI/CD, unit testing, test automation
- Agile, Scrum
Technical expertise:
- Developing machine learning applications in Python, Java with MongoDB, Windows, Linux, Docker
- Natural Language Processing, Machine Learning, Data Mining
- Good expertise in web technologies: JavaScript, HTML/CSS
Work Experience
Data Scientist in Minds-Medical GmbH, Frankfurt, Germany
2018 – present
Company | Developing an artificial intelligence system for medical coding. minds-medical.de |
Responsibilities |
Model designing and implementation based on machine learning algorithms and artificial intelligence methods in the field of pattern recognition and Natural-Language Processing (NLP). Using Named Entity recognition (NER) approaches for data classification and anonymization. Comprehensive model development for logical zones recognition in printed documents based on a combination of Tensorflow pre-trained image recognition models and extracted meta-data from HTML/CSS. |
Technologies | Python, Apache OpenNLP, Tensorflow, Java, SpringBoot, MongoDB, Git, Bitbucket, Swagger, Docker, IntelliJ, Junit, Mockito, HTML/CSS, MySQL, MSSQL |
Software Engineer in NEVAAL, Frankfurt, Germany
2018
Company | Dynamic visualisation of networks. networkval.com |
Responsibilities | Implementation of a prototype for visualisation of social networks. |
Technologies | Python, JavaScript, D3.js |
Due to family resons I lived in the USA
2014 - 2016
Data Analyst in DORIS, Ukraine (part-time)
2011 – 2013
Company | Telecom and Internet Provider |
Responsibilities | Financial statements analysis, modules of the economic state and business planning in the automated business control system implementation |
Technologies | Matlab, SQL, Java, MS Excel |
Scientific Officer, Lecturer in Donetsk National University, Ukraine
2007 – 2014
Company | University |
Responsibilities | Teaching subjects: Evaluation and Fuzzy Logic models, Risk Control and Decision Making Systems, Relational Database Management Systems, Web-design |
Technologies | Java, HTML/CSS, JavaScript, SQL |
Data Analyst, Oracle DBA in Ukrtelecom, Ukraine
2007
Company | National Telecom and Internet Provider |
Responsibilities | consolidation of customer base data, analysis of billing payments, 2nd- and 3rd-level support for existing applications |
Technologies | Oracle, PLSQL |
Technical Skills
Software development tools | Jupyter, Anaconda, Git, Docker, Swagger, IntelliJ |
Data Management | Tableau, MongoDB, Oracle/PLSQL, MySQL, MSSQL, MS Excel |
Operating systems | Windows, OSX |
Programming languages, technologies | Python, Java |
Web | HTML, CSS, D3.js, JavaScript |
Build tools | Gradle, Maven |
Libraries / Tool-kits | Numpy, Pandas, OpenNLP, scikit-learn, Spring, SpringBoot, |
Public Talks
-
March 12, 2019 - Frankfurt NLP Meetup:
Named Entity Recognition with Apache OpenNLP: Training a model for the medical field
Certifications & Trainings
DataCamp Courses:
- Supervised Learning with scikit-learn
- Statistical Thinking in Python
- Introduction to Python
- Intro to SQL for Data Science
- Intermediate Python for Data Science
- Python Data Science Toolbox
- Importing Data in Python
- Pandas Foundations
- Manipulating DataFrames with pandas
- Statistical Thinking in Python
- Joining Data in SQL
- Supervised Learning with scikit-learn
Language
Russian, Ukrainian – native, English – fluent, German – basic
Hobby
Photography