Mustafa GUL
Data Professional
Transforming raw data into actionable insights through pipeline development, analytics, and machine learning solutions.
Data Engineering
ETL Pipelines, Airflow, PySpark
Machine Learning
Predictive Models, LLM Integration
Location
Belgium • EU Work Authorization
About Me
Recent Junior Data Engineer Intern at MinersAI with hands-on experience across the full data lifecycle: ETL pipelines, exploratory analysis, ML model development, and workflow automation. My philosophy background brings exceptional problem-solving skills and critical thinking to data challenges. Currently expanding expertise through continuous learning while building production-ready solutions.
Education
Master's in Philosophy
Istanbul MSGSU, Turkey (2020-2022)
Bachelor of Philosophy
Ankara YBU, Turkey (2013-2018)
Minors: Psychology, Sociology
Languages
Interests
Work Authorization
Technical Skills
Comprehensive technical expertise spanning the entire data lifecycle, from pipeline development to ML deployment, with active learning through Coursera and DataCamp.
Programming & Analysis
Data Engineering
Cloud & Databases
Machine Learning & AI
Data Analysis & Viz
Tools & Technologies
Professional Experience
Hands-on experience across the full data lifecycle, from ETL pipeline development to ML model deployment, with proven impact in production environments and real-world data challenges.
Junior Data Engineer Intern
MinersAI
Working on advanced data engineering solutions for geological data processing and AI integration.
Designed and optimized ETL pipelines for geological data processing with Python and PySpark
Performed exploratory data analysis on 50K+ geological records, identifying key patterns and anomalies
Integrated LLMs to convert unstructured geological text into structured formats, improving data accessibility by 85%
Implemented OCR + LLM solutions for extracting data from geological PDFs and maps
Structured geospatial and vector data for AI/ML analysis using Geopandas
Created dashboards and visualizations for data quality monitoring
Data Engineer Trainee
BeCode
Completed intensive 7-month bootcamp covering data engineering, analytics, and machine learning.
Built 8+ end-to-end projects: data pipelines, ML models, dashboards, and automated workflows
Hands-on experience with large-scale datasets (1M+ records) and modern data stack technologies
Conducted exploratory data analysis, feature engineering, and model evaluation
Developed expertise in Python, SQL, PySpark, Airflow, and cloud platforms
Mastered data pipeline development, ETL processes, and workflow automation
P4C Instructor/Mentor
Private Educational Institution
Teaching critical thinking through Philosophy for Children (P4C) methodology.
Designed and delivered philosophy curricula for students of various age groups
Developed critical thinking and analytical skills in students through Socratic dialogue
Created engaging educational materials and interactive learning experiences
Mentored students in developing logical reasoning and ethical thinking
Fostered inclusive classroom environments promoting intellectual curiosity
International Volunteer
European Solidarity Corps (ESC)
Animator organizing projects based on social inclusion and integration for diverse communities.
Organized and facilitated community integration events for international participants
Developed intercultural communication skills while working with diverse groups
Created educational workshops focused on social inclusion and cultural exchange
Coordinated logistics for large-scale community projects and events
Built strong networks within international volunteer communities
Featured Projects
Production-ready solutions demonstrating expertise in data engineering, machine learning, and AI integration with measurable impact and real-world applications.
AI-Powered SQL Query Generator
Natural language to SQL converter enabling non-technical users to query databases using plain English. Features 95% query accuracy with <2s response time.
Key Features:
- Natural language processing for SQL generation
- 95% query accuracy with sub-2-second response time
- User-friendly Streamlit interface
- Support for complex JOIN operations and aggregations
Wine Recommendation System
ML-based recommendation engine using collaborative filtering to suggest wines based on user preferences. Trained on 10,000+ wine records with 87% prediction accuracy.
Key Features:
- Collaborative filtering algorithm implementation
- 87% prediction accuracy on test dataset
- RESTful API with Flask for integration
- Trained on dataset of 10,000+ wine records
Real Estate Price Prediction
End-to-end ML pipeline for predicting real estate prices with advanced feature engineering. Achieved 92% R² score with production-ready API deployment on AWS.
Key Features:
- Advanced feature engineering and selection
- 92% R² score on validation dataset
- Production-ready API with <200ms response time
- Containerized deployment with Docker on AWS
Document Q&A System
AI-powered document analysis system using semantic search and LLMs. Capable of processing 100+ pages in 30 seconds with 92% accuracy.
Key Features:
- Semantic search with vector embeddings
- Processes 100+ pages in under 30 seconds
- 92% accuracy on question-answering tasks
- Integration with multiple LLM providers
Data Automation Workflows
Intelligent automation workflows using n8n for data processing tasks. Reduced manual data processing time by 70% through automated pipelines.
Key Features:
- Automated data collection from multiple sources
- 70% reduction in manual processing time
- Error handling and retry mechanisms
- Real-time monitoring and alerting
Temporary Email Service
API-based disposable email generation system with 99.9% uptime. Handles 1000+ daily requests with robust error handling.
Key Features:
- RESTful API with FastAPI framework
- 99.9% uptime with error handling
- Handles 1000+ requests per day
- Comprehensive API documentation
Open to New Opportunities
Currently seeking Data Analyst, Data Engineer, Junior Data Scientist, or ML Engineer roles in Belgium. Available for full-time positions, freelance projects, and technical collaborations.
Let's ConnectGet In Touch
Currently seeking Data Analyst, Data Engineer, Junior Data Scientist, or ML Engineer roles in Belgium. Available for full-time positions, freelance projects, and technical collaborations.
Send a Message
Ready to Start a Conversation?
Open to discussing data engineering projects, analytics opportunities, ML collaborations, or any technical challenges involving data. Location: Marche-en-Famenne, Belgium (EU work authorization).