Position: Data Scientist, Data Analyst
Category: Data Science
English level: upper
Years of experience: 10

1.	The main author of the National Report PISA 2018.
2.	Co-author of reports on the results of the first cycle of the national monitoring study of the quality of primary education "The state of formation of reading and mathematical competencies of primary school graduates in the system of general secondary education" in 2018, 2021.  
3.	The author of the series reports: PISA-2018: Ukraine in focus (2020, 2021) 
4.	The reports of External independent testing outcomes and their analysis interpretation via SPSS tools (EIT 2012, 2013, 2014, 2016, 2018) (Ukrainian Center for Educational Quality Assessment). 
5.	The reports of General Educational Legal Competence testing (2016, 2017, 2018) (USAID Fair Justice program; USAID New Justice program).
6.	The report of Research of quality of university students competitive selection on the results of External Independent Testing (2007-2012) (support by USAID and USETI Alliance).
Now I'm working as a Senior Data Scientist & Team Lead of the Data Science team in IT-company. I have Solid skills in mathematics, statistics, and algorithms. Experience in using predictive modeling, data processing, and data mining algorithms to solve different problems in various industries: education, sales market, insurance, healthcare, etc.
Skilled in R (dplyr, ggplot, data.table, caret, xgboost, Shiny, Markdown etc.), Python (Numpy, Pandas, Scikit-learn etc.), SPSS, Excel, SAS, STATISTICA, MatLab, SQL; used MS Excel for intensive data transformation & visualization activities. Technical skills in using cloud technologies Azure, Databricks (MLflow, Feature Store, AutoML).
Experience of Psychometrics:  analysis of the test quality, estimation of the validity and reliability of the tests. Strong knowledge of Classical Test Theory (CTT) and Item Response Theory (IRT). Experience in Data Wrangling, DataTransformation/Visualization, Statistical Data Analysis, Predictive Analytics, Machine Learning.
Support of calculations in forecasting the sales market, responsible for the full cycle CRISP-DM methodology, presenting results to the client, and promoting new approaches: 
•	Supervising regression learning by xgBoost, Random Forest and MARS
•	Market Sales Forecasting for large platforms
•	Collecting data from relational DBs using R+SQL connection 
•	Market investigation and primary data analysis (R, Python, Excel) 
•	Preprocessing data and feature engineering, LS preparation for the next modeling
•	Implementation of models, analysis, and visualization 
•	Weekly meeting reports and present results for the client 
•	Investigating the approach of  process modeling transfer to Databricks
•	Team Lead of Data Science Team.
My professional interest is Data Analysis in the Sales market, Healthcare, and Education. I have experience Experience in large-scale assessment and data analysis:
1.	Participant in “PISA 2018 Lead Analyst Programme” (Paris, OECD, 2019).
2.	Scientific Researcher at National Aerospace University “Kharkiv Aviation Institute”.
3.	Expert consultant of the Ukrainian Center for Education Quality Assessment.
4.	Expert of Psychometrics, U.S. Agency for International Development.  (National School of Judges of Ukraine, 2018.)
5.	Independent expert consultant at Kharkiv National Medical University.
I don't want to work with Computer Vision, IoT, Time Series in technical areas, and Robototechnics.