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Data Science / Machine Learning - 22279 Outstaffing
FÄHIGKEITEN UND KOMPETENZEN
Die Architektur
Maschinelles Lernen / Deep Learning-Anwendung. SQL + Power BI, Unternehmenslösungen
Betriebssystem
Windows, Ubuntu
Sprachen
Python, SQL (MS SQL, MySQL, PostgreSQL)
Technologien
Pandas, Numpy, Matplotlib, Seaborn, ML-Algorithmen, SQL, Power BI, Spark,
ETL, Tensorflow, Keras, Open-CV, Neural Networks, Jira,
Software
PyCharm, Jupyter, SQL Server Management Studio, Interactive SQL, Power BI,
SSIS, Power Automate, MS Excel, Databricks
Tasks & Duties
Support the team with creating and maintaining data flows for reporting. Improving existing scripts for financial reports. Create different visualizations with advanced navigation from scratch in Power BI (from raw information in database to finished dashboard). Develop data quality reports. Develop stored procedures and jobs in SQL Server Management Studio on demand. Cooperate with data analysts, engineers and data owners from other departments to complete mutual tasks. Test all mentioned above.
Technologies
SQL, Power BI, ETL, Jira
Technologies
BeautifulSoup, pandas, pymorphy2, nltk, spacy, OOP, telebot, supervisor
Tasks & Duties
Scrapping text data for generator, full text analysis, usage of Markov’s Chains for generator, creating the telegram-bot and run it with supervisor .
Technologies
Tensorflow, Keras, numpy, opencv, sklearn Duration
Test different approaches for building image classifier (classical ML, CNN (created from scratch, out-of-box architecture raw or pretrained), concatenate raw features and extracted from CNN)