Last Updated on 6th November 2020
Pelinsu Çelebi
pelinsucelebi@gmail.com | +90 531 844 80 34 | +39 347 994 1782 | pelinsu.celebi (skype)
SKILLS
EXPERIENCE
PROGRAMMING
Python, R, SQL, C++, PHP, HTML, CSS
MACHINE LEARNING
Regression, Classification, Cluster Analysis, Semantic Segmentation, Object Detection, Spatio-Temporal Data Analysis
TARGET ENERGY SOLUTIONS | Sr. MACHINE LEARNING ENGINEER
April 2021 - Present | Ankara, TR
• Image Classification and Data Preparation
• Semantic Segmentation on highly complex Thin Section Images for feature detection
• gRPC service implementation and testing on Oil Field Image Analysis Web App
• Oil Field Image Analysis App Desktop Version development (Python)
• ML Monitor App development for ML Model performance tracking and Model Updates
DATAGLACIER | Data Science Intern
Sep 2020 – Dec 2020 | India (Virtual)
• Yoga Pose Rater
RAKUN SOFTWARE | Data Science Intern
May 2017 – Oct 2017 | Ankara, TR
• App development using R language and deployment using Shiny Library. Spatio-Temporal Data Analyzer App
TURBO PPP | Erasmus+ Management Intern
Jan 2016 – April 2016 | Brussels, BE
TÜRK TRAKTÖR | Production Engineering Intern
May 2015 – Aug 2015 | Ankara, TR
• Time-Value Analysis, MURA Analysis, World Class Manufacturing Standards
LANGUAGES
CERTIFICATES
Turkish (Native), English (Fluent) | TOEFL IBT: 113/120, French (A2), Italian (A1)
IBM DATA SCIENCE PROFESSIONAL CERTIFICATE | Specialization
2020 | IBM
• Python for Data Science and AI
• Databases and SQL for Data Science
• Data Analysis and Machine Learning with Python
• Data Visualization with Python
• Applied Capstone Project
DEEP LEARNING SPECIALIZATION | Specialization
2020 | deeplearning.ai
• Neural Networks and Deep Learning
• Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization
• Structuring Machine Learning Projects
• Convolutional Neural Networks
• Sequence Models
EDUCATION
MS, COMPUTER SCIENCE AND ENGINEERING
Politecnico di Milano
September 2024 - Current | Milano, IT
Note: I had started this MSc Program in 2017 but then had to take a break due to personal reasons. Currently, I am re-admitted and have only 2 exams and a thesis to graduate.
BS, INDUSTRIAL ENGINEERING
TOBB University of Economics and Technology
October 2017 | Ankara, TR
Thesis: Short Term Wind Energy Production Forecasting and Lithium Ion Battery Capacity Optimization for Demand and Production Levelling
PROJECTS
Clastic And Carbonate Thin Section Analysis Application
• Image Classification Model Training with Python
• Semantic Segmentation Model Training with Python
• Data Labelling Tool Implementation with Qt5
• gRPC Back-end Service Implementation with Python
• Unit Test Implementation with Python
• Data Base Design and Implementation with Postgres
Core Photo Analysis Application
• Image Classification and Regression Model Training with Python
• gRPC Back-end Service Implementation with Python
• Unit Test Implementation with Python
• Data Base Design and Implementation with Postgres
Machine Learning Monitor Application
• Mini AutoML Application Implementation with Python and PyQt5 for in company use
• Image and Ground Truth Mask Data Retrieval from in use SaaS Product via kubectl
• Implement Model Specific Data Augmentation and Sanity Check Interface
• Create Postgres Database to Track Feature Specific Model Train History
LINKS
Github:// PelinC
LinkedIn:// pelinsucelebi
Website:// pelinsucelebi.me