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Khanzada Bagisbayeva profile image

Khanzada Bagisbayeva

Senior Expert of Credit Modeling Team, Retail Risk Block at Bank CenterCredit
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Seasoned data analyst and business intelligence expert with experience in data modeling, risk management, and business intelligence.
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Location
Almaty, Almaty, Kazakhstan, KZ
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Bio

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Khanzada Bagisbayeva is a seasoned data analyst and business intelligence expert with extensive experience in data modeling, risk management, and business intelligence. She has worked with top financial institutions, including Sberbank and Bank CenterCredit, where she developed and implemented data management processes, automated reporting, and risk scoring models.

Credentials

  • Databricks Certified Data Engineer Associate Cert Prep: 1 Databricks Lakehouse Platform
    LinkedIn
    May, 2024
    - Apr, 2026
  • Communication Foundations
    LinkedIn
    Nov, 2023
    - Apr, 2026
  • Generative AI: The Evolution of Thoughtful Online Search
    LinkedIn
    Oct, 2023
    - Apr, 2026
  • Ethics in the Age of Generative AI
    LinkedIn
    Sep, 2023
    - Apr, 2026
  • Microsoft Azure Fundamentals (AZ-900) Cert Prep: 1 Cloud Concepts
    LinkedIn
    Sep, 2023
    - Apr, 2026
  • Project Management Foundations: Ethics
    LinkedIn
    Jul, 2023
    - Apr, 2026
  • Developing Your Emotional Intelligence (2017)
    LinkedIn
    Jun, 2023
    - Apr, 2026
  • Managing Project Stakeholders
    LinkedIn
    Jun, 2023
    - Apr, 2026
  • Project Management Foundations: Budgets (2018)
    LinkedIn
    Jun, 2023
    - Apr, 2026
  • Project Management Foundations: Communication
    LinkedIn
    Jun, 2023
    - Apr, 2026
  • Project Management Foundations: Risk
    LinkedIn
    Jun, 2023
    - Apr, 2026
  • Project Management Foundations: Teams
    LinkedIn
    Jun, 2023
    - Apr, 2026
  • Requirements Elicitation for Business Analysts: Interviews
    LinkedIn
    Jun, 2023
    - Apr, 2026
  • Advanced Predictive Modeling: Mastering Ensembles and Metamodeling
    LinkedIn
    May, 2023
    - Apr, 2026
  • Agile Requirements Foundations
    LinkedIn
    May, 2023
    - Apr, 2026
  • Apache Kafka Essential Training: Getting Started
    LinkedIn
    May, 2023
    - Apr, 2026
  • AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 3 Processing
    LinkedIn
    May, 2023
    - Apr, 2026
  • AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 4 Analysis and Visualization
    LinkedIn
    May, 2023
    - Apr, 2026
  • Azure Data Engineer Associate (DP-203) Cert Prep: 4 Monitor and Optimize Data Storage and Data Processing
    LinkedIn
    May, 2023
    - Apr, 2026
  • Big Data Analytics with Hadoop and Apache Spark
    LinkedIn
    May, 2023
    - Apr, 2026
  • Business Analysis Foundations
    LinkedIn
    May, 2023
    - Apr, 2026
  • Business Analysis Foundations: Business Process Modeling
    LinkedIn
    May, 2023
    - Apr, 2026
  • Business Analyst and Project Manager Collaboration
    LinkedIn
    May, 2023
    - Apr, 2026
  • Data Ingestion with Python
    LinkedIn
    May, 2023
    - Apr, 2026
  • Data Science Foundations: Fundamentals
    LinkedIn
    May, 2023
    - Apr, 2026
  • Deep Learning: Getting Started
    LinkedIn
    May, 2023
    - Apr, 2026
  • DevOps for Data Scientists
    LinkedIn
    May, 2023
    - Apr, 2026
  • Docker for Data Scientists
    LinkedIn
    May, 2023
    - Apr, 2026
  • Google Cloud Foundations
    LinkedIn
    May, 2023
    - Apr, 2026
  • Hands-On Data Science: 4 Services Analysis in Spark
    LinkedIn
    May, 2023
    - Apr, 2026
  • Introduction to Linux
    LinkedIn
    May, 2023
    - Apr, 2026
  • Learning Kubernetes
    LinkedIn
    May, 2023
    - Apr, 2026
  • Level Up: Python
    LinkedIn
    May, 2023
    - Apr, 2026
  • Machine Learning with Python: Decision Trees
    LinkedIn
    May, 2023
    - Apr, 2026
  • Machine Learning with Python: Foundations
    LinkedIn
    May, 2023
    - Apr, 2026
  • Machine Learning with Python: k-Means Clustering
    LinkedIn
    May, 2023
    - Apr, 2026
  • Machine Learning with Python: Logistic Regression
    LinkedIn
    May, 2023
    - Apr, 2026
  • Machine Learning with Scikit-Learn
    LinkedIn
    May, 2023
    - Apr, 2026
  • NumPy Essential Training: 1 Foundations of NumPy
    LinkedIn
    May, 2023
    - Apr, 2026
  • NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities
    LinkedIn
    May, 2023
    - Apr, 2026
  • pandas Essential Training
    LinkedIn
    May, 2023
    - Apr, 2026
  • Practical Python for Data Professionals
    LinkedIn
    May, 2023
    - Apr, 2026
  • Project Management Foundations: Requirements
    LinkedIn
    May, 2023
    - Apr, 2026
  • Python for Data Science Essential Training Part 2
    LinkedIn
    May, 2023
    - Apr, 2026
  • Python Functions for Data Science
    LinkedIn
    May, 2023
    - Apr, 2026
  • Python Tools: Jupyter vs. PyCharm
    LinkedIn
    May, 2023
    - Apr, 2026
  • PyTorch Essential Training: Deep Learning
    LinkedIn
    May, 2023
    - Apr, 2026
  • Requirements Elicitation and Analysis
    LinkedIn
    May, 2023
    - Apr, 2026
  • AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 2 Storage and Data Management
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 5 Security
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Azure Data Engineer Associate (DP-203) Cert Prep: 1 Design and Implement Data Storage
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Big Data in the Age of AI
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Business Analysis for Project Managers
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Cloud Architecture: Core Concepts
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Data Engineering Foundations
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Data Strategy
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Database Modernization
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Enterprise Architecture in Practice
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • ETL and ELT in PostgreSQL
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Hands-On Introduction: Python
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Introduction to NoSQL
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Learning Data Governance
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Learning REST APIs
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Learning SnowflakeDB
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Practice It: Python Data Structures
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Predictive Analytics Essential Training: Data Mining
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Python Object-Oriented Programming
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Strategic Thinking
    LinkedIn
    Apr, 2023
    - Apr, 2026
  • Technical Product Management
    LinkedIn
    Apr, 2023
    - Apr, 2026

Experience

  • Bank CenterCredit
    • Almaty, Almaty, Kazakhstan
    • Senior Expert of Credit Modeling Team, Retail Risk Block
      • Oct 2021 - Jul 2022
      • Almaty, Almaty, Kazakhstan

      - Developed automated calculation of profit and loss (P&L) and analysed customer lifetime value (CLTV) in terms of client's cost of risk (COR);- Verified risk scoring models for all retail block (hereinafter - RB) products;- Developed an alternative proposal for the pool of pre-approved clients based on the analysis of scoring cards and decision-making system strategies for rejected RB applications.

  • Sberbank
    • Almaty, Almaty, Kazakhstan
    • Head of Business and Data Analytics Team, Finance Department
      • Jun 2018 - Jul 2021
      • Almaty, Almaty, Kazakhstan

      - Led the development of local DWH for the Finance Department: developed 300+ data marts, implemented data management processes, including data verification in sources and making appropriate decisions;- Governed the development of the Bank's automated management reporting in the DWH, which reduced delivery time by 60% and optimized reporting effort by 70%.- Verified the qualitiy of data in sources and logic of data marts in the Bank's DWH;- Conducted business analysis with stakeholders and led the development of automated management and analytical reporting for the Bank's business units (PL/SQL, ETL, SAP BO, QlikView);- Managed a 2-year project on Development of the Bank's Management Information System (MIS);- Developed ad hoc reports with financial, product and business metrics to analyze profitability of products and initiatives of the Bank's business units;- Provided information and communicated with external and internal auditors;- Formed and managed a team of up to 10 analysts and engineers.

  • Sberbank
    • Banking
    • 700 & Above Employee
    • Chief Manager of Planning and Analytics Team, Corporate Business Planning and Analysis Department
      • Nov 2014 - Apr 2017

      - Developed automated calculation of business plan distribution for Corporate Business (hereinafter referred to as CB) in the context of segments and branches of the bank;-Participated in working group for implementation of business intelligent system (SAP BI), acted as a business owner of CB data cubes and management reports, prepared business requirement documents for developers;-Calculated and analysed automated net profit value (NPV) for new CB products;-Developed management, ad hoc analytical reports and dashboards for CB;-Provided information to regulators and external auditors and communicated on matters of competence.

    • Lead Manager of Sales Management Branch, Major Clients Department
      • Jul 2013 - Nov 2014

      - Developed analytical cubes and sales dashboards;- Provided automated Plan-Fact analysis;- Prepared and implemented automated bonus calculation for sales managers;- Automated and analyzed management reporting for department managers.

  • AO Home Credit Bank Kazakhstan
    • Almaty, Almaty, Kazakhstan
    • Senior Analyst of Credit Scoring and Modeling Division, Risk Department
      • Feb 2011 - Mar 2013
      • Almaty, Almaty, Kazakhstan

      - Analysed and monitored the approval process and taking measures to improve it;- Prepared information required by the Bank's management to make management decisions;- Analysed data and developed data marts in MS SQL/PL SQL;- Analysed risk management methods used in the approval process and prepared suggestions for the Bank's management for their improvement;- Prepared reports to the Bank's management at specified intervals;- Provided consultations to the employees of other structural divisions of the Bank on the issues within the Division's competence.

Education

  • 2006 - 2010
    Kazakh National Technical University
    Bachelor of Science - BS, Information Systems

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