Position: Data Scientist with Data Engineering Skills
Category: Data Science
English level: fluent
Years of experience: 6

IEEE VAST Challenge 2018 MC2, Identifying patterns and anomalies within spatiotemporal water sampling data. Our team won an award for "Elegant Design of an Interactive Display" (presented on the conference IEEE VIS 2018 in Berlin). My responsibilities included association rule mining (Apriori algorithm), correlation analysis, and visualization [R, SQL,Tableau];
Graduate of a German university with 4+ years of professional experience as Data Engineer and 2.5 years as Data Scientist. Highly skilled in SQL, Python, Machine Learning, and Data Visualization.
I'm a citizen of Kazakhstan, currently based in Almaty.
Work experience:
Data Scientist (Germany) - half year.

Paraphrase generation for coupon titles by using neural networks (Pytorch, LSTM, Bert, Spacy, Flask).

Research Assistant (German University) - 2 years

Data quality assurance, data cleaning, and data visualization (Python, Pandas, Numpy, Matplotlib);
Twitter Sentiment Analysis using Python and KNIME;
Geospatial data visualization using JavaScript (D3.js, Leaflet) and PostgreSQL (PgRouting, PostGis);

Data Engineer (Kazakhstan) - Data Warehouse Project:

Worked on all phases of data warehouse development lifecycle, from gathering requirements to testing, implementation, and support.
Data Sources: Oracle DB, WAY4 OpenWay, SAP ERP.
Developed ETL pipeline (Pentaho Data Integration, PL/SQL).
Used various aggregation functions for the BI reporting systems.

AML and Anti-Fraud Project:

Analyzed the current legislation for fraud detection in financial data.
Developed various PL/SQL subprograms like Stored Procedures, Functions, Jobs, and Packages.
Performed optimization and tuning of PL/SQL code and SQL queries.
Designed scenarios to detect suspicious transactions.
I would like to focus on classical machine learning and analytics rather than deep learning and computer vision