Kayseri, Türkiye
Currently completing my Master of Science in Data Science at Abdullah Gül University, I contribute to ABC Logistics as a Data Scientist, where my core competencies in data analysis, generative AI, and machine learning come to the forefront. My recent projects involve using advanced technologies in AI to enhance logistics operations, showcasing my proficiency in Python and various database management systems. At ABC Lojistik, our team has successfully implemented tech solutions that streamline processes and improve efficiency. My role involves cross-functional collaboration, ensuring projects align with stakeholder expectations and contribute to the company's innovation-driven culture. My commitment to continual learning in ML & AI and its application in logistics positions our team to offer cutting-edge solutions and diverse perspectives within the industry.
I led and managed data science and machine learning projects, using Python, MSSQL, PostgreSQL, and MongoDB to create AI solutions that improved logistics. I used project management tools like Jira to make sure projects were finished on time. I worked with different teams, gathering information and studying data to find useful insights. I designed, built, and launched machine learning models, and made sure they were reliable by testing them carefully. I also made sure that everyone on the team and the people we worked with could communicate and work together well. I always looked for new technologies in data science and AI to see how we could use them to make logistics better. Projects: •Wait Time Reduction: Utilized GPS data to develop an algorithm that identifies and minimizes vehicle idle time, leading to significant efficiency gains. •Intelligent Document Processing: Enhanced OCR accuracy through document pre-processing. Extracted valuable data from documents using OCR and implemented a labeling system for document classification. •Predictive Freight Pricing: Created a regression model that predicts freight prices based on load details, facilitating informed decision-making. •Out-of-Route Detection: Leveraged GPS and ERP data to build an ML model that detects off- route vehicles with detailed situational reports. •Enhanced Information Access: Built a multi-level chatbot using AWS Bedrock and related services. This chatbot empowers employees across departments to access information from company documents efficiently. •Streamlined Operations: Developed web applications for: •Ship Reservation Management System: Tracks, manages, and visualizes ship reservation operations. •Fuel Tracking System: Tracks fuel usage and station details, optimizing the company's fuel operations.
Created and maintained a library of resources for representatives Provided preference counseling to students during the 2022-2023 university selection period Promoted Nuh Naci Yazgan University at university fairs and other promotional events Developed communication, presentation, and persuasion skills Gained experience in promoting and recruiting for a university