Experience

Borusan Otomotiv

• Türkiye
• Motor Vehicle Manufacturing
• 500 - 600 Employee

• • Sep 2021 - Present

  Data Strategist, Transformation Lead, Analytics PioneerBorusan Otomotiv Group is a joint venture company between Borusan Holding in Turkey & GIWA Holding in Germany. Borusan Otomotiv Group is uniquely responsible for importing, selling, distributing, and giving after-sales services of BMW, MINI, Motorrad, Jaguar, and Land Rover brands since 1985. Leading a team of 15 across Data Analytics, Data Governance, Data Managament, and Business Intelligence supporting six companies in Borusan Otomotiv Group.To bring the company up to the highest Data Maturity Level;*Developing and optimizing the Data Strategy of the company to become more data-driven, increase profit and enable operational excellency.*Fostering data literacy in the company to implement this strategy successfully (data and analytics training, workshops, online courses, etc.)*Started Data Governance initiative by creating a data stewardship structure and regular data governance committee meetings, *Programmatically converting business decisions based on descriptive analytics, to predictive and prescriptive analytics by developing ML models,*Transforming the rule-based customer campaign and management process into a more profitable and customer-centric one by creating a contact strategy and segmentation structure.*Created a fusion team and encourage to developing of AI products with OpenAI capabilities to increase customer engagement and loyalty and improve operational efficiency,*Started the journey from scattered on-premise DW structure to cloud-based Enterprise Data Warehouse (EDW) Show less

• • Nov 2019 - Sep 2021

  *Established the Data Analytics Department in Borusan Otomotiv and enlarged the team periodically.*Designed analytical roadmap and successfully completed the second-year milestones.*Led the Data Governance & Compliance project and was responsible for keeping the process running.*Diagnosing workstream problems and improving by doing advanced analytics solutions, data analysis, visualization, automation via query, etc.*Started, organized, and managed the Microsoft AI Academy program within the company, and successfully finished 5 months schedule to support the data literacy of the company.*Creating Statistical Models with Machine Learning Algorithms on Python and Azure ML Studio (Service Retention, Customer Churn, Vehicle Mileage Prediction, Vehicle Part Fault Prediction, Value-Based Customer Segmentation, Demand forecasting, vehicle specification optimization, etc.)*Bronze Winner, IDC DX Awards Best Digital Trailblazer - 2020 Show less



Yapı Kredi

• Türkiye
• Banking
• 700 & Above Employee

• • Mar 2018 - Nov 2019

  *Played an important role in the establishment of the Advanced Analytics department in Yapı Kredi Bank(Unicredit)*Diagnosing workstream problems and improve by doing advanced analytics solutions.*Creating Statistical Predictive Models with Machine Learning Algorithms with R and Python (Behavioral Customer Segmentation, Time Deposit 1to1 Pricing, Collection Models, Branch Audit Score, Salary Estimation etc.)*Business and functional analysis of analytical projects*Data Preperation for Modelling Process*Provided data analysis, data acquisition, validation, and management *Running User Acceptance Test(UAT) of input variables and verifying data working in conjunction with the IT team. etc.) Show less

• • Feb 2017 - Mar 2018

  • Performing Credit Risk Modelling process under requirements of IRB regulations.• Producing Collection, Pre-Delinquency and PD Models with Machine Learning.• Working as Scrum Master in Agile Working.• Preparing Data Dictionary for Modelling Process• Provides to cleaning and preparation of data for data mining and analysis, data acquisition, validation, and management from incoming data sources.• Running User Acceptance Test of input variables and verifying datas working in conjunction with the IT team.• Designing segmentation to obtain best structure for customer profile Show less

• • Dec 2012 - Feb 2017

  • Writing first underwriting, collection, monitoring strategy algorithm in bank to obtain who will be approve or reject and estimate the limit/risk amount for Credit Cards, Corporate/Commercial/SME Credit/Credit Cards applications and automated end-to-end process.• Working with marketing team and determine the needs of project in risk perspective.• Identifies and analyzes business and functional requirements for analytical projects• Running User Acceptance Test of strategy input variables and verifying datas working in conjunction with the IT team.• Prepared Credit Cards Underwriting Benchmark report.• Doing default, delinquency performance and trend analysis and making monthly,weekly and seasonly risk reports.• Detecting pre-delinquency behaviour of commercial customers and identifying proactive actions• Managing collection strategies (including design, improvement and monitoring). Show less