DNA LABSMART AI Team Lead• Smart AI Team consists of data scientists and data engineers that are dedicated to pioneering the development of unique and innovative products and projects that leverage cutting-edge machine learning, cloud, and AI technologies for Eczacıbaşı subsidiary companies.• Product Owner skilled in prioritizing features and driving product vision to deliver exceptional user experiences. Adept at collaborating with cross-functional teams to ensure alignment and maximize value throughout the product lifecycle• Experienced in guiding teams to develop innovative solutions, leveraging advanced analytics to drive strategic decision-making and business growth.Mineral Prospectivity Mapping (Promap) Project• Developed robust predictive models that transformed geological and geospatial data into actionable insights, empowering stakeholders to make informed investment and exploration decisions. • Contributed to sustainable mining practices by pinpointing mineral deposits with minimal environmental impact, fostering responsible resource extraction.Paper Anomaly Project• Implemented an end-to-end project that aims predicting paper breakage and winding stops using machine learning and computer vision AI applications.• Created pre-detection and warning mechanisms to guide operators based on model predictions and data analytics.• Achieved approximately 9% savings in the annual gross maintenance time and raw material losses.Qualitics Project• A project on predicting the scrap rate based on heat and other production process parameters during the manufacturing of bathroom equipments.• Feature engineering and clustering studies necessary for identifying key parameters.• Created several ensemble learning tree models for process tracking for business units• Developed dashboards, analytics windows, and recommender systems for the manufacturing team to optimize the manufacturing process through prescriptive mechanisms.

Turkish Fighter Development (TF-X) ProjectArtifical Intelligence & Machine Learning DepartmentComputer Generated Forces (CGF) Project: •Used Reinforcement Learning (RL) to build decision making models to increase the efficiency of tactical simulations•Classification model deployments for aircraft missile and weapon threat assessment by hit & miss probabilistic approach.•Developed air simulation tactical scene Fighter jet engagement AI entities and tests models.•Anomaly detection and time series regression analysis for of fatigue analysis and aircraft sensor quality assurance in real time flight tests.•Collected data from the flight environment and creating models using Machine Learning (ML) algorithms to help decision makers.•Worked in an Agile environment using software development best practices (Scrum, Git, Jira, Confluence)

Turkish Fighter Development (TF-X) Project•Applied clustering analysis to evaluate team performance and identify optimization opportunities.•Analyzed historical policies and processes to develop data-driven strategies for process improvement.•Designed interactive data visualizations to monitor and communicate project KPIs effectively.•Built predictive models to assess risk impact and probabilities using internal datasets.•Conducted cost-benefit analyses to evaluate the implications of proposed performance baseline changes.•Developed time-series forecasting models to predict work package completion and improve project •scheduling accuracy.

MSc. Data Science Academic Researcher•Constructed multivariate parametric and Naive Bayes classifiers for image classification•Built Linear and Non-parametric regression models for natural disaster forecast•K-Means, EM and Spectral clustering analysis for customer segmentation•Created Decision Tree and Random Forest classifiers for movie popularity•Applied Text Mining and NLP on social platforms through KNIME platform for sentiment analysis•ARIMA forecast analysis on Time Series Commodity Prices