Position: Data Scientist
Category: Python
English level: fluent
Years of experience: 1.5


Risk Analyst | MaxDecisions Inc., USA January 2022 – May 2022:
(Data Science / Risk Management)
• Prepared the dataset for machine learning models by overviewing Weight of Evidence (WoE), scaling non-categorical variables, and oversampling the data to address class imbalance.
• Implemented ML algorithms including SVM, XGBoost, and DL to predict Probability of Default for clients.
• Compared the performance of the models using metrics such as K-S scores, ROC curves, and confusion matrices on the test and validation datasets, and produced rank order tables to evaluate the models' effectiveness.
• Collaborated effectively with other team members and stakeholders, including data scientists, engineers, and business leaders, to deliver high-quality risk management solutions to clients. [Presentation], [GitHub]
• Tech stack: Python, Scikit-Learn, TensorFlow, Keras

Senior Year Project Engineer | Arcelik Inc., Turkey October 2019 – June 2020:
(Project Management / Strategic Planning)
• Led a warehouse improvement project that involved relocating departments to optimize flow value and increase capacity by 2800 ft2, using MATLAB to assess and visualize the changes.
• Improved logistics efficiency by optimizing the path for forklift trucks, reducing wait time by 20% and enhancing productivity.
• Boosted revenue by 10% by designing and implementing wedges for coil steels, reducing damage and waste.
• Authored a comprehensive 40-page academic report detailing the project methodology, results, and recommendations for future improvements with a team of seven. [Presentation], [Report]