Summary
Overview
Work History
Education
Skills
Personal Information
Software
Timeline
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AYBUKE DOGAN

AYBUKE DOGAN

Data Scientist & IT System Analyst
Ankara

Summary

Experienced data scientist and IT system analyst with 10+ years of expertise in data processing. Skilled in analyzing, processing, and modeling complex datasets to discover hidden patterns, trends, pain points, growth opportunities, and areas for improved efficiency and productivity. Demonstrates a strong academic and professional background in data science and machine learning techniques. Highly adept at evaluating technical and functional business and system requirements to create data-driven solutions.

Overview

12
12
years of professional experience
2
2
Languages

Work History

Senior IT System Analyst

Exness
02.2022 - Current
  • Conducted comprehensive system and database analyses to identify areas for improvement and optimization of data integration processes via kafka, API, DBs, CDC, etc.
  • Designed successful integrations with internal or third-party applications, expanding functionality through core systems platforms without compromising stability or security considerations.
  • Streamlined data migration tasks for seamless system transitions and minimized downtime.
  • Supported end-users by troubleshooting and resolving complex data-related problems promptly, minimizing disruptions to daily operations.
  • Collaborated with cross-functional IT teams to design effective data integration solutions, tailored to business needs,project progress updates, and change management processes.
  • Collaborated with upper management to drive strategy and implement new processes.
  • Successfully completed multiple high-stakes projects under tight deadlines by employing strong project management skills.
  • Ensured data quality through rigorous testing, validation, and monitoring of all data assets, minimizing inaccuracies and inconsistencies.
  • Enhanced system performance by designing and implementing scalable data solutions for high-traffic applications.
  • Acted as a trusted advisor for end-users by providing thought leadership on best practices in developing datamarts, ensuring their processes were optimized for performance and scalability.
  • Compiled, cleaned and manipulated datamarts for proper handling.
  • Established clear documentation practices for data mappings, transformations, querying, and integrations to maintain consistency across projects.
  • Developed custom scripts to automate routine data integration tasks, increasing productivity and reducing manual effort.
  • Implemented robust monitoring of data pipelines, identifying potential issues before they impact business operations.

Senior IT System Analyst

Credit Bureau of Turkey
01.2019 - 02.2022
  • Experienced in data collection, analytical platforms and AI projects
  • Collaborated on all stages of SDLC, from requirements gathering to production releases
  • Applied honed problem-solving and advanced data skills to identify and then prioritize technical and functional business requirements
  • Applied modeling skills to design DWH models (to transfer data from source systems which includes NoSQL databases; traditional databases to DWH)
  • Developed database objects, including tables, views and materialized views using SQL
  • Developed and maintained dashboards/reports using Tableau, Qlik Sense, BI etc
  • Managed testing cycles, including test plan creation, development of automation test scripts via IntelliJ and co-ordination of user acceptance testing for software and applications
  • Documented procedures, business processes and stakeholder management

Senior Data Scientist

GARANTI BBVA
09.2016 - 01.2019
  • Evaluated credit card risk trends to understand competitive environments and assess current strategies
  • Developed data-driven decision making strategies to minimize credit card risk and to increase efficiency and effectiveness of granting processes
  • Determined correct data sets and variables and extracted them from disparate sources
  • Cleaned and validated the data by using SAS programming to ensure accuracy, completeness, and uniformity
  • Conducted initial data investigation and exploratory data analysis by using SAS programming
  • Designed data modeling processes to create classification ML algorithms and predictive models and performed custom analysis with SAS programming to predict early and long term risks, identify trends, fraud, latent patterns or actionable insights, define risk segmentation & new granting strategies
  • Compiled research data and gave professional presentations highlighting findings and recommended uncover optimizations

IT System Analyst

TAM FINANCE
03.2015 - 09.2016
  • Applied advanced analytical skills to analyze risk monitoring system, decision support system, cheque scorecard processes and created detailed business analysis, outlined problems, opportunities and recommendations for improvement
  • Created new models that support business decisions by working closely with stakeholders to establish initiatives and strategies
  • Derived conceptual designs from business objectives to deliver software and applications according to specifications for usability, performance and functionality
  • Analyzed technical and functional impacts of various candidate solutions, responded to necessities, and provided recommendations to business units

Data Analyst

TEB Cetelem BNP PARIBAS
09.2012 - 03.2015
  • Experienced in risk analysis (forecast, vintage, fraud) of consumer auto loans combined with understanding of KPIs
  • Monitored early risk indicators (FPD, Overridden, Roll Rates), Collection & Cure Rates, late risk indicators (EAD,PD, DPD, LGD, Litigation & Recovery Rates)
  • Conducted cost of risk works
  • Managed credit strategy and credit policies via decision support system (NBSM)
  • Supported central scoring team in Paris for implementing a scorecard
  • Aimed to minimize credit risk and maximize automation share of granting process
  • Defined relevant and useful data sets and collected them from various sources
  • Cleaned and validated the data to ensure accuracy, completeness, and uniformity by using SQL, SPSS, Excel
  • Conducted initial data investigation and exploratory data analysis with SPSS
  • Analyzed, processed, and modeled data by using machine learning algorithms with Clementine and then interpreted the results to create new granting strategies
  • Visualized data and presented findings and made recommendations to stakeholders

Education

Master of Science - Software Engineering

BAHCESEHIR UNIVERSITY
Istanbul
04.2001 -

Bachelor of Science - Statistics

HACETTEPE UNIVERSITY
Ankara
04.2001 -

Skills

  • Technical Analysis, System Design, Software Development Methodologies, Software Testing, Agile Methodology
  • Stakeholder Management, Project planning, Product Management, Task prioritization
  • Advanced Analytics, Machine Learning Algorithms, Data Science, Data Cleaning, Data Validation, Data visualization and presentations
  • Data integration, Real-time data processing, Data Management, Data Migration, Datawarehouse, Change Data Capture
  • Technical Analysis, System Design, Software Development Methodologies, Software Testing, Agile Methodologies

Personal Information

  • Date of Birth: 06/30/88
  • Nationality: Turkish

Software

SQL (Clickhouse, Vertica, PSQL, etc)

Python

MongoDB

Tableau, OBI, Qlik Sense, Business Objects, Oracle APEX

SPSS,SAS,WEKA,MINITAB,Clementine

Jira, Confluence, Lucid, Miro, Process Modeler

MS Office, Google Sheets, Docs, Slides

IntelliJ, Visual Studio

Kafka, Flink, DBT, GIT

Timeline

Senior IT System Analyst

Exness
02.2022 - Current

Senior IT System Analyst

Credit Bureau of Turkey
01.2019 - 02.2022

Senior Data Scientist

GARANTI BBVA
09.2016 - 01.2019

IT System Analyst

TAM FINANCE
03.2015 - 09.2016

Data Analyst

TEB Cetelem BNP PARIBAS
09.2012 - 03.2015

Master of Science - Software Engineering

BAHCESEHIR UNIVERSITY
04.2001 -

Bachelor of Science - Statistics

HACETTEPE UNIVERSITY
04.2001 -

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AYBUKE DOGANData Scientist & IT System Analyst