About

About Me

I’m Aydin Aghaliyev, a Data Scientist & AI Engineer at Philips with experience in agentic AI systems, NLP, quantitative modelling, and cloud-deployed applications.

Experience

Philips — Amsterdam / Eindhoven, Netherlands (2 yrs 3 mos)

Data Scientist & AI Engineer — Full-time | Sep 2025 – Present

Created an agentic pipeline running in Databricks with PySpark data sources for clause extraction, reading and reasoning over medical servicing contracts between the company and hospital customers
Created a hybrid graph-embeddings agentic RAG system for analyzing medical machine error logs and autonomously deriving root causes on AWS infrastructure

Generative AI Engineer — Internship | Apr 2025 – Sep 2025

Built a vector-based full-text search system using Gemini embeddings, ChromaDB, FastAPI backend and Vue.js frontend; deployed with key-based authentication on Azure
Built a GPT-4o agentic RAG chatbot for in-company use with a full frontend, authentication system, and dynamic memory of previous conversations, deployed on Azure

Data Analyst — Internship | Apr 2024 – Apr 2025

Prepared a LASSO model for prediction of market size and KPIs with 95% accuracy
Automated sales analysis tasks using Microsoft Office JS API, boosting workflow productivity by more than 10x
Created more than 10 data visualisation dashboards for sales and performance data using Excel, Power BI, and QlikSense
Built data extraction and processing pipelines using SQL and Apache Spark

Education

Erasmus University Rotterdam — MSc Data Science | Sep 2024 – Aug 2025 Coursework: Machine learning, NLP, LLMs, Agentic AI, Web scraping, Python, R

Erasmus University Rotterdam — BSc International Economics and Business Economics (IBEB) | Sep 2021 – Aug 2024 Coursework: Investments, Derivatives, Statistics, Stochastic Calculus, Econometrics, Time Series Analysis, C++, R

Skills

Languages: Python, C++, R, SQL, JavaScript
Libraries & Tools: NumPy, Pandas, TensorFlow, Spark, Node.js, Git, Databricks, ChromaDB, FastAPI, Vue.js
Cloud & Platforms: Azure, AWS
Quantitative: Statistics, Stochastic Calculus, Time Series, Derivative Pricing, Quantitative Trading

Certifications

GRE — 160V / 170Q (ETS, Oct 2023)
IELTS — 8.0 (Mar 2020)

Languages

Azerbaijani (native) · English (fluent) · Russian (fluent) · Turkish (fluent)