Open to roles in data science & analytics engineering

Martin
Milon

Data Scientist · Economist · New York

I build machine learning systems and analytical tools where rigorous methods meet messy real-world problems — immigration law, humanitarian operations, housing markets, and public policy.

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At a glance

M.S. Data Science · NYIT
3+ Years in the field
11 GitHub projects
2 Languages · EN / ES
Python
Pandas NumPy scikit-learn Matplotlib Seaborn Flask
Data
SQL PostgreSQL Excel ETL
Other
R D3.js Databricks Weka Git

Background

B.A. Economics & Political Science, Stony Brook University · Former paralegal in immigration law · Humanitarian casework in NYC shelter system

Featured work

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Supervised ML Instacart Reorder Prediction

LightGBM pipeline on 3M+ orders. ROC-AUC 0.971. Deployed as Flask REST API.

GitHub → Supervised ML Customer Churn

SVM pipeline (F1 0.84) with AdaBoost/Bagging ensembles and full deployment plan.

GitHub → Data Visualization Political Crisis in Peru

Visual analysis of presidential instability in Peru since 1980.

GitHub → Economics Macroeconomic Accounting

Exploring public debt, private financial wealth, and sectoral balances.

GitHub → Data Engineering YouTube Data Pipeline

ETL pipeline collecting daily snapshots via YouTube API v3. 98% quota reduction.

GitHub → More 6+ additional projects

Clustering benchmarks, housing market analysis, census data, refugee statistics, and more.

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Let's work together.

Open to full-time roles, freelance analysis, and research collaborations.

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