Netherlands
Data scientist with strong analytical background and 5+ years of experience in data science. Highly experienced in utilizing ML/DL techniques to provide data driven solutions to various business problems. Strong knowledge of the advantages and limitations of different types of data, feature engineering techniques and algorithms/model design.
Customer Digitalization and Engagement Advanced Analytics & AI Leading data science projects and took major responsibility in shaping model design, data exploration, feature engineering and modeling steps in various classification, regression and clustering projects Leading stakeholder management by working closely with business teams to clarify business problem and translate into ML based solutions. Utilizing various ML/DL techniques to provide data science solutions to different business problems focusing on improving customer digital experience through increased personalization. Data solutions I have been working on include churn and propensity prediction to offer the right campaign or product at the right time; or sequence models using customer events log data to identify behavioral patterns & drivers leading to next stage in a successful journey. Preparing production ready code and working closely with data engineers to design input & scoring flow in cloud environment with an eye on efficiency and latency. Coaching junior data scientist through mentoring, training and code review to ensure quality of work across the team
Big Data and Advanced Analytics Led data science projects and took major responsibility in shaping model design, data exploration, feature engineering and modeling steps in various classification, regression and clustering projects. Utilized various ML/DL techniques and statistical methodologies to provide data science solutions to different business problems such as location-based fraud detection, risk based pricing, time series forecasting for ATMs cash flow and delinquency prediction for collection strategies. Worked closely with data engineers to design input & scoring flow in production environment with an eye on efficiency and latency. Led stakeholder management and assisted them with reflecting their needs into the model design and answering their questions, explaining model results, providing data driven insights. Designed and developed an automatized pipeline for adaptive models which are retrained on a periodical basis. Supervised junior data scientists by taking active role in training and mentoring activities and ensuring quality of their work through peer review. Took part in teaching and preparing content for weekly courses, assignments and final project for Applied Machine Learning undergraduate course at İstanbul Technical University Mathematical Engineering department.
Credit Risk Analytics Involved in developing classifiers targeting at predicting good/bad payment performance of a customer at time of acquisition. Optimized limit assignment strategies and cutoff levels across different channels available.
Research & Strategy Conducted comprehensive research on the macroeconomic developments at both local and global level with an eye on its effects on the capital markets and reported them on a daily basis. Made regular market analysis to reveal the new dynamics entering the capital markets and proposing creative solutions (such as new capital markets products) for the company to keep up with the new developments.