Mehmet Ercan Dalmış Email & Phone Number

Ankara, Turkey

Ankara, Turkey

Developed and maintained a Machine Learning Pipeline for product sales forecasting in warehouses, contributing to optimizing stocks in advance.

As a pivotal member of the Research & Development Department, I led initiatives to enhance quality control processes through the implementation of cutting-edge computer vision technologies. Key accomplishments include:Researched and Developed an Image-Based Autonomous Defect Detection System: Spearheaded the creation of an innovative defect detection system leveraging advanced computer vision techniques. This system analyzed nail images to identify defects, significantly improving quality assurance processes and elevating product reliability. Notably, this project was conducted under the TUBITAK-1501 initiative, showcasing a commitment to excellence and innovation in research and development.Developed and Maintained MLOps Processes: Established robust MLOps (Machine Learning Operations) processes to streamline the development and deployment of machine learning models for defect detection. This encompassed the entire lifecycle, from data collection and organization to model development and integration. Noteworthy tasks included: Data collection and labeling, model development and validation, integration into the system, development of web applicationNotably, the system was designed to halt operations automatically upon detecting defects, prompting operators to intervene and address issues promptly, thus ensuring product quality and operational efficiency.

-Developed a comprehensive time series forecasting machine learning pipeline for product sales forecasting, contributing to optimizing stock levels in advance.-Conducted in-depth analysis of time series data, employing techniques for feature extraction and selection to enhance model performance.-Utilized Python programming language with libraries such as Pandas and NumPy for data manipulation and preprocessing.-Implemented data visualization techniques using Matplotlib to gain insights and communicate findings effectively.-Applied a variety of machine learning algorithms from Scikit-learn, including XGBoost models, for accurate forecasting.-Integrated deep learning models with TensorFlow and Keras to explore more complex patterns in the data.-Developed a user-friendly GUI using Tkinter to facilitate easy application of machine learning and deep learning algorithms, streamlining the forecasting process.GUI Link: https://github.com/ercandalmis98/machine-learning-gui

As a key member of the autonomous car project team, I played a pivotal role in developing various components and functionalities. Some of the key areas I contributed to include:Website Development: Spearheaded the creation of the team's website, incorporating an intuitive admin panel for efficient management. The website can be accessed at cuhidromobil.epizy.com.Image and Video Processing: Leveraged the OpenCV library to implement advanced computer vision techniques for image and video processing, enhancing the car's perception capabilities.Artificial Intelligence Integration: Integrated machine learning and deep learning algorithms to enable intelligent decision-making processes within the autonomous car system.Embedded Systems Development: Utilized Raspberry Pi, Nvidia Jetson TX2, and Arduino platforms for prototyping and deploying various embedded systems components, ensuring seamless integration with the vehicle's hardware.Operating Systems and Programming Languages: Proficiently worked with Linux as the primary operating system and employed Python and JavaScript for software development tasks.Simulation Environment: Utilized Unity 3D Game Engine to create realistic simulation environments for testing and validating the autonomous car's functionalities.3D Modeling: Employed Blender3D for modeling tasks, ensuring accurate representation of physical components and environments within the simulation.Front-End Development: Designed and implemented the user interface of the website using HTML, CSS, and Bootstrap 4, ensuring a responsive and visually appealing experience for users.Back-End and Database Management: Developed the back-end functionalities of the website using PHP and MySQL, facilitating seamless data management and user interaction.