Ilya Muradin

Data Scientist

I use data science and machine learning to find patterns in complex data, build predictive models and turn insights into practical solutions that improve products, processes and decision-making.

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About me

I enjoy using data to uncover patterns, build models and turn analysis into something useful. For me, good data science starts with understanding the data, checking its quality and making sure the results are reliable.

Hi, I’m Ilya Muradin. I work as a Statistician & Data Scientist at the Dutch Association of Insurers and I’m currently completing an M.Sc. in Computer Science at Leiden University, specialising in Data Science & AI. I enjoy using data to solve real problems, from predictive modelling and machine learning to analysis and AI applications that can improve products, automate processes and support better decisions.

  • Machine Learning

    Skilled in building and applying machine learning models using supervised learning, unsupervised learning and deep learning.

  • Data Engineering

    Building reliable data pipelines and ETL processes while managing cloud infrastructure for machine learning.

  • Analytics & Insights

    Turning raw data into clear visualizations and useful business insights.

Stack

The tools and methods I use to analyze data, build models and develop practical solutions.

Software & Development

The programming languages and frameworks I use to build software and data solutions.

  • Python
  • FastAPI
  • React Native
  • REST APIs

Analytics & Statistics

Analyzing data to find patterns and insights before building models or solutions.

  • SQL
  • Statistical analysis
  • Data analysis
  • Data quality
  • Data visualisation

Machine Learning & AI

Building machine learning models to make predictions, classify data and analyze text.

  • Predictive modelling
  • Classification
  • NLP
  • Sentence Transformers
  • Recommender systems

Data Engineering

Building reliable data pipelines to process, manage and deliver data.

  • Data pipelines
  • ETL
  • PostgreSQL
  • Web scraping
  • Docker
4+
years of experience
6+
projects completed
10+
technologies mastered

Experience & Education

An overview of my work experience and education in data analysis, data science and AI.

Statistician & Data Scientist

Dutch Association of InsurersVerbond van Verzekeraars

Nov 2023 to present

Current

Analyze insurance data to identify trends and publish reliable market statistics with a strong focus on data quality and statistical analysis. Build data pipelines and automate processes to improve efficiency. Work on various data science projects including web scraping, statistical modelling and analyzing pension choices and customer behavior.

  • Statistical analysis
  • Predictive modelling
  • Data quality
  • Data pipelines
  • Web scraping

AI Engineer

Gîtes

Jun 2025 to Jun 2026

Built a three layer NLP classification pipeline to detect hosts attempting to move bookings off platform. Combined rule based signals, contact detail detection and multilingual text embeddings.

320K+
messages scored
€420K
commission at risk
3
detection layers
  • NLP
  • Text classification
  • Sentence Transformers
  • Embeddings
  • Applied AI

Business Analyst

Natuurhuisje

Feb 2023 to Jul 2023

Analyzed business and operational data to identify trends and improve performance. Worked with teams to define key metrics and built live dashboards to track results.

  • Data analysis
  • Business intelligence
  • Dashboards
  • Data visualisation
  • SQL

Data Analyst

NIBC Investment Bank

Jan 2022 to Feb 2023

Built a classification model to identify environmental risks in commercial real estate. Combined property data with over 12 external data sources including air quality, flood risk and noise pollution. Automated data pipelines and APIs to keep risk scores up to date.

  • Classification
  • Risk modelling
  • Predictive modelling
  • REST APIs
  • Data pipelines

Selected projects

Two live products I built end to end, from the data layer to the app.

VibeWork start screen: choose job seeker or recruiter
VibeWork account screen for an organisation, with team and vacancies
VibeWork: screens from the app

A mobile recruitment platform with AI powered matching

VibeWork · Personal projectLive

A full-stack mobile recruitment app I built as a personal project. Candidates discover jobs through short videos and apply directly in the app. Recruiters can post vacancies, manage applications and chat with candidates.

The core of the app is a data-driven recommendation system. It analyzes candidate profiles, including skills and experience and uses a matching algorithm to rank vacancies based on how well they fit each candidate. Instead of showing everyone the same jobs, the system creates a personalized feed with the most relevant opportunities for each user.

  • Recommender systems
  • Personalisation
  • CV parsing
  • Applied AI
  • Python
  • FastAPI
  • Docker
Visit the website
AquaVite map of members’ houses in Leiden
AquaVite wallet screen: balance and shared expenses
AquaVite: screens from the app

A members’ app for an association

AquaVite · Personal projectLive

A full-stack mobile app I built for an association. The app brings together shared schedules, expense tracking, member information and internal tools in one place. Behind the app is a PostgreSQL database powered by Supabase, with row-level security to manage data access and keep member information secure.

  • React Native
  • PostgreSQL
  • Supabase
  • Data modelling
  • Row level security
  • Product development
View in the App Store

Have a data problem worth solving?

I’m interested in projects where data science, machine learning and AI can solve real problems and create value. Have something interesting in mind? Let’s connect.

Location

The Hague, Netherlands

Elsewhere

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