Personal Information
Name Bakytzhan Sarsembayev
Sex Male
Place and Date of Birth Kazakhstan,Almaty, 22 April 1994
Email bahasarsembayevcopy@gmail.com
Education/Specialty (2011-2015)
International Information Technology University (2011-2015)
Faculty: Computer science
Specialty: Mathematical and computer modeling
Courses/Certificates Analyze of data in R (Bioinformatics Insitute,2017)
SAS Enterprise Guide/Modeler
Interest in the study of machine learning algorithms;
Computerskills Strong data and analytics capabilities, comfortable with writing SQL queries, and proficient in one or more programming languages such as Python or R.
C++,R, Python (Knowledge of classical algorithms and data structures, algorithms of machine learning) , 1С, Oracle SQL, My SQL, postgresql, ETL, Informatica
IBM SPSS modeler, IBM SPSS statistics, SAS Enterprise Guide, SAS Enterprise Miner, Power BI, Tableau, GooglseSheets
Experience in office packages Microsoft Office (Word, Excel, Power Point);
Other skills Responsible, punctual, stress-resistant, diligent;
Experience
OLX GROUP e-commerce
Oct 2019 – Present
Kazakhstan
OLX GROUP e-commerce
• Development of KPI (analysis of the effectiveness of managers)
• Segmentation models
• Service quality assessment, developed chat bot to take a feedback
• Analysis of the efficiency of the business unit and statistical support
• Customer segmentation, RFM analysis, business customer churn prevention model, fraud detection,
• Supporting Business with Ad-hoc reports and data extracts
• Preparing reports for the management stating trends, patterns, and predictions using relevant data (tableau and googlesheets using by R/Pyhton)
«Prime Source»
Oct 2016 – Oct 2019
Position: Database analyst
• Analyzed large amount of data using methods of mathematical statistics and machine learning algorithms;
• Participated in projects on ACRM implementation in Halyk Bank, Sberbank
• Prepared data requirements, analyzed the quality of data in DWH. Developed business requirements, technical tasks, risk reports (vintage analysis, migration, Roll rate, etc.).
• Created showcases for models. Developed stress testing, scoring models.
• Developed and introduced IBM SPSS Modeler nodes for visualization the relationships between the beneficiary and the potential false for State Revenue Committee
«Kaspi bank»
Jan 2015 – Jul 2016
Kazakhstan
Position: Data analyst
• Mined business data, analyzed large amount of data using methods of mathematical statistics and machine learning algorithms;
• Analytical support in the decision-making process for business (Product Management Team)(e.g. determined which customers to offer which product, through which channel);
• Developed and implemented analytical models to optimize/enhance existing bank processes (for example, customer segmentation of credit card holders, and analysis of customer behavior by segment group);
• Evaluated the effectiveness of campaigns;
• Constructed regression models;
• Was trained and certified in courses: SAS Enterprise Guide and SAS Miner from SAS Training Center;
• Participated in project "Kaspi Data Laboratory", and was ranked in top 3 following job offer at Kaspi bank;