Fuad Garibli
I am a passionate Computer Engineer with strong expertise in Web Development, Data Analytics, Machine Learning, and Deep Learning.
About
I am a passionate Computer Engineer with strong expertise in Web Development, Data Analytics, Machine Learning, and Deep Learning. I have experience building scalable applications with React, Django, and Python, and developing predictive models using XGBoost, Random Forest, SVM, Regression, and BERT-based NLP solutions.
I thrive in dynamic environments and have successfully led teams and delivered impactful results in international projects across Azerbaijan, Turkey, and Spain. I love tackling complex problems with innovative technologies and continuously improving my skills in software and AI development.
- 1 year's experience
- Joined July 2025
Skills· 15
Languages
- AzerbaijaniFluent
- TurkishFluent
- EnglishFluent
- FrenchIntermediate
- Spanish; CastilianIntermediate
- RussianIntermediate
Industry experience
- Software & Internet
- Energy & Utilities
- Professional Services
- Education
Work experience
Built web projects including "Shuttle Bus System", "Employee Control System", and various forms using React, TypeScript, Django, and Node.js. Developed custom SharePoint SP Web Parts and managed deployment with @pnp/sp library. Delivered front-end interfaces and optimized user permissions for internal systems.
Designed and implemented data pipelines using Apache Kafka and Hadoop, enabling real-time data processing for large-scale sales and customer datasets. Conducted exploratory data analysis (EDA) and built interactive visualizations using Python, Matplotlib, and Seaborn to identify sales trends and optimize resource allocation. Developed and deployed predictive ML models (Regression, XGBoost, Random Forest) to forecast customer purchasing patterns, achieving over 82% prediction accuracy. Implemented SparkML-based workflows for distributed training of machine learning models on large datasets, reducing training time by 40%. Automated data cleaning and feature engineering pipelines to improve dataset quality and downstream ML performance. Supported server and network infrastructure maintenance, including LAN domain setup and monitoring for data-driven applications.
Managed ESN Sakarya website, coordinated team activities, and ensured cross-network communication.
Education
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