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MasouData/README.md

Hi, I'm Masoud Aghayan 👋

Data Engineer & Business Data Analyst
Databricks • PySpark • SQL • Python • Azure • Data Analytics

Based in Utrecht, Netherlands 🇳🇱

I build reliable data pipelines, analytics solutions and applied machine-learning systems that turn complex data into useful business decisions.

My background combines data engineering, banking and risk analytics, industrial data at ASML, and applied data science. I completed an MSc in Computer Science – Data Science at Utrecht University in 2025 and hold the Databricks Certified Data Engineer Associate certification.

What I work with

Area Technologies & Methods
Data Engineering Python, PySpark, SQL, Apache Spark, Databricks, Delta Lake, Kafka, Azure Data Factory
Data Platforms Lakehouse architecture, Bronze/Silver/Gold, batch & streaming pipelines, data quality
DataOps / MLOps Git, GitHub Actions, Databricks Asset Bundles, MLflow, Unity Catalog
Analytics & ML scikit-learn, XGBoost, statistical modelling, experimentation, explainable ML
AI Applications LangGraph, RAG, Databricks Vector Search, Microsoft Foundry
BI & Reporting Power BI, Spotfire

Featured Projects

🔄 Real-Time Kafka → Databricks Lakehouse

End-to-end streaming pipeline using Kafka, PySpark, Databricks Lakeflow and Delta Lake, with Bronze–Silver–Gold processing, data-quality rules, orchestration and dev/prod deployment.

Tech: Kafka · PySpark · Databricks · Delta Lake · Lakeflow · Power BI
View project

🏦 Explainable KYC Risk Modelling

Customer-review prioritisation using 5.08M synthetic transactions. Compares a transparent scorecard, Logistic Regression and Explainable Boosting Machine using calibration, precision, recall and lift.

Tech: Python · PySpark · Databricks · Interpretable ML
View project

🤖 Explainable Credit Risk Copilot

Governed credit-risk decision-support prototype combining statistical models, deterministic policy rules, document retrieval and generative AI.

Tech: Databricks · MLflow · Vector Search · LangGraph · Microsoft Foundry
View project

🇳🇱 Housing Energy Behaviour in the Netherlands

Reproducible analysis of Dutch CBS open data across 437 municipalities, combining data engineering, PySpark and panel-data econometrics.

Tech: Python · PySpark · R · CBS StatLine · Econometrics
View project

🚀 Databricks CI/CD with Asset Bundles

Automated Databricks deployment workflow using GitHub Actions, Databricks Asset Bundles and separate development/production targets.

Tech: Databricks · GitHub Actions · YAML · CI/CD · DataOps
View project

📊 Mobile Marketing Attribution & Customer Lifetime Value

End-to-end business analytics project covering acquisition performance, attribution, customer economics and predictive 180-day LTV.

Tech: Python · Analytics · Machine Learning · Customer Economics
View project

Experience Highlights

ASML — Data Engineer / Data Scientist Intern
Worked with large operational datasets using Python, SQL, PySpark and Databricks, including predictive modelling and operational analytics.

Banking — Financial Data Analyst
Five years working with customer, transaction, KYC/CDD, credit-risk and portfolio data.

Omdena – TerraYield 2 — Execution Anchor & Data Engineer Collaborator
Working with heterogeneous satellite, weather, environmental and economic data in an international project.

Education & Certification

MSc Computer Science – Data Science, Utrecht University, 2025
Thesis: Data Valuation & Reduction in Dataset Federations

Databricks Certified Data Engineer Associate, 2026

Connect

LinkedIn • GitHub

Pinned Loading

  1. databricks-asset-bundles-ci-cd databricks-asset-bundles-ci-cd Public

    CI/CD for Databricks using Asset Bundles and GitHub Actions with dev/prod targets, automated deployment and job execution

    Jupyter Notebook

  2. explainable-credit-risk-copilot explainable-credit-risk-copilot Public

    Governed credit-risk decision-support prototype using Databricks, MLflow, Vector Search, LangGraph and Microsoft Foundry.

    Jupyter Notebook

  3. explainable-kyc-risk-modelling explainable-kyc-risk-modelling Public

    Explainable KYC periodic-review prioritisation on 5.08M synthetic transactions using PySpark, Logistic Regression and Explainable Boosting Machines.

    Python

  4. housing-energy-behaviour-nl housing-energy-behaviour-nl Public

    Housing Energy Behavior in Netherlands: Retrofit, Demand and Equity

    Python

  5. mobile-marketing-attribution-customer-lifetime-value mobile-marketing-attribution-customer-lifetime-value Public

    An end-to-end analysis of mobile acquisition performance, privacy-safe attribution, and predictive Customer Lifetime Value (LTV) modeling.

    Python

  6. real-time-kafka-databricks-pipeline real-time-kafka-databricks-pipeline Public

    End-to-end streaming lakehouse with Kafka, PySpark, Databricks Lakeflow, Delta Lake, Asset Bundles and Power BI.

    Python