Data analyst, data scientist
Personal summary
Talented and self-motivated data analyst who has excellent organizational skills is highly efficient and has a good eye for detail. Has extensive experience in assisting in the development and upgrading of database systems and analytical reports. A quick learner who can absorb and generate new ideas and can communicate clearly and effectively. Now I’m looking for a suitable data analyst position with an ambitious company.
City:Kharkov
Education
Kharkiv National University of Radioelectronics
Applied Mathematics and Management, Applied Mathematics, Kharkov
Higher, 09.2003 - 07.2009 (5 years 4 months)
Key skills and competencies
-Attention to detail & ability to work in a pressurised time-sensitive environment.
-Checking of supplied data for sense, consistency and accuracy.
-Sound understanding of relational, object and dimensional databases.
-Extensive experience with SQL/ MySQL, Excel/Access, 2018/2019, QlikView, DAX/PowerBI, Domo, GoogleDatastudio, Google Cloud (Big Query), AWS (S3, Batch, Athena)
Programming skills: SQL, VBA, Python;
Language Skills:
English –Intermediate level
Certificate: Python(Hillel), Data Science/Machine Learning (ITEA)
Work experience
Data analyst
10.2019 – to the present
IT Company(Zfort), Kharkov (IT)
-Creating and deploying machine learning models;
-Collecting and interpreting data, analysing results;
-Identifying patterns and trends in data sets;
- Analyze and assess data using a variety of tools, with the intent of identifying the root cause of issues and proposing their resolution;
-Defining new data collection and analysis processes;
-
Analyzing issue resolution data, making recommendations for support process improvement, and assisting in the implementation of changes;
-
Communicate application problems and issues to key stakeholders, including management and development team members;
Achievements:
-Сreated an NLP (natural language processing) model to extract special information from verifiable text data. I achieved more than 80% accuracy on an internal dataset.
-Created a python script for daily automatic data uploading and creation of a calculation program in Power Query(Excell)
Template Developer
08.2018 – 10.2019 (1 year 2 months)
IT Company(Template Developer), Kharkiv (IT)
-
Economic analysis of bank reports and relationships between individual reporting indicators;
-
Analysis of the structure of bank report templates and incoming data required for reporting;
-
Development of algorithms for converting the incoming data to obtain a structure suitable for presenting and submitting the report data;
-
Configure templates to generate reports.
Achievements:
Created and provided some complex financial reports.
Additional information:
In the preparation of analytical reports used databases and Excel and Excel-like applications.
Data analyst
02.2014 - 07.2018 (4 years)
Trading company(Omega-Avtopostavka), Kharkov (Distributing)
- Analyzing statistycal data of realisation markets (sales statistics, export and import).
- Monitoring open sources of information about competitors, preparation of analytical reports, analyzes trends in auto parts markets and other analysis as required by Management.
-Collection, processing and provision of analytical sales information -observation by key sales indicators.
-Building analytical models.
-Analysis of internal software for processing big data files and implementing improvements.
-Modifying processes and creating new tasks in order to improve performance.
-Review reporting needs and create reports for new features.
-Project management creation and automation of database.
Achievements:
- Developed and implemented a database processing system by using VBA and MySQL.
-Automated a series of regular reports.
Additional information:
In the preparation of analytical reports used regression and analysis of variance to predict the volume of purchases of goods.
Risk analyst
04.2010 - 12.2013 (3 years 8 months)
Financial Organization(Delta bank), Kyiv (Finance)
-Developing, documenting and implementing statisticаl mоdels to quаntify and forecast pоrtfоlio risk levels in support of the Bank’s overall сrеdit risk management, including advanced internal ratings-based methods, regulatory stress tests, and ecоnomic capital.
-Pеrforming dаtа merging, data clеаnsing, transformation, outlier detection and missing data imputation.
-Survivаl analysis for credit risk modelling including PD, LGD, and EAD risk parameters for Basel.
- Prеpаring and enhancing technical documentation.
Achievements:
-Upgraded the model of forecasting financial risks (credit, liquidity), which led to a significant decrease in the level of internal risks of the bank.
- introduced a mechanism for calculating the standard of instant liquidity, thereby increasing the quality of risk control.
Additional information:
Used risk assessment techniques VaR(Value at Risk) to estimate potential losses with the construction of a parametric model.
and she sounds so skilled and educated. It breaks my heart all these wonderful people ripped from their lives 
) . It depends what she wants.