Cahid Arda Öz Email & Phone Number

· Implemented modules within data processing pipelines to enhance efficiency and add new features using PySpark. Notable contributions include an outlier detection module, which improved the runtime significantly, a reporting module for accuracy and prediction distribution assesment via DataDog, and a module dedicated to calculating price features for.

Istanbul, Turkey

· Worked on solving a niche image processing task that involved classifying objects in low contrast, microscopic images. Worked independently on researching, testing and evaluating different approaches.· Impact: Used MTRG Segmentation to create an annotated image dataset. Trained deep learning models such as CE-Net and Mask-RCNN using this data. Used the.

Istanbul, Turkey

· Learned about time series forecasting, focusing on demand forecasting for ATM units. Tested feature engineering, machine learning and deep learning methods. Used Keras to implement the TabTransformer, a deep learning architecture for modeling tabular data.· Impact: My TabTransformer implementation was added to the company’s collection of models.· Used.

Istanbul, Turkey

Worked on the RE4DigiTR project, lead by Fatma Başak Aydemir. Helped develop ArTu, a model-driven web application for visualizing goal models based on a number of heuristics. · Worked on developing ArTu, a web application for visualizing requirements and user story sets as graphic goal models. Used JointJS library to improve the graphical interface. Added.

Bachelor'S Degree, Computer Engineering

Computer Science

Activities and Societies: Twente Hacking SquadErasmus+ student at the University of Twente