/PORTFOLIO — 2026

CAMELIA
SAMUILA

/ROLE

ML Data Scientist · Data Analyst

Turning messy data into clear decisions — building production machine learning systems and analytics that teams actually use.

See selected work Connect on LinkedIn

10K+

Records analyzed

0.86

Churn model ROC-AUC

Client attendance boost

AWS certifications

/ABOUT

About

/CURRENTLY

Currently working through AWS's Data Engineering curriculum, and building out this portfolio as I go.

/BASED

Remote · Europe

I've always been drawn to finding patterns where others see noise. I'm currently pursuing a Master's in Artificial Intelligence and Data Science at Titu Maiorescu University in Bucharest, and I specialize in the full analytics workflow — from building data extraction pipelines in Python and SQL to training predictive models with scikit-learn. I'm energized by translating complex datasets into clear, actionable insights.

/SELECTED WORK

Projects

MLDATA ANALYSIS

/WRITING

Notes

/Short write-ups on the decisions behind selected projects

View all

MLMODEL SELECTION

Why I picked Random Forest over XGBoost for the churn model

On a 10K-row dataset, interpretability won out over squeezing extra points of AUC — here's the reasoning.

IOSPRODUCT

Building Ether solo: scope discipline over feature count

Shipping a complete iOS app alone on a thesis timeline meant saying no to a backend I didn't need yet.

/TOOLBOX

Skills

/PROGRAMMING

Python
SQL
Java
JavaScript
TypeScript
Swift
R
HTML5
CSS3

/DATA & ML LIBRARIES

pandas
NumPy
matplotlib
seaborn
scikit-learn
PyTorch
TensorFlow

/CLOUD & TOOLS

AWS
Jupyter/Google Colab
Git
GitHub
Docker
VS Code
Microsoft Excel

/CORE CONCEPTS

OOP
Data Structures & Algorithms
Data Cleaning & Validation
Exploratory Data Analysis
Predictive Modeling
Debugging
Statistical foundations (hypothesis testing, probability, model evaluation metrics)

/TRACK RECORD

Experience

/POSITIONS

Freelance + internship experience

01
Freelance Data & Web Developer
Confidential Client (Events Industry) · Designed and deployed a full-stack website with a public landing page and secure admin portal, streamlining registration and driving a 2x client attendance increase. Built an interactive business-metrics dashboard and cleaned/structured raw data for backend dashboard integration.
June 2025 - Nov 2025
02
Intern, Web Scraping
Peviitor.ro (remote) · Extracted, cleaned, and structured web data for job listings using Python (BeautifulSoup, Scrapy), optimizing datasets for downstream analysis.
Aug 2024 - Nov 2024

/CREDENTIALS

Certifications

01AWS Academy Graduate: Cloud FoundationsVIEW CREDLY ↗
02AWS Academy Graduate: Cloud OperationsVERIFIED
03AWS Academy Graduate: Data EngineeringVIEW CREDLY ↗
04AWS Academy Graduate: Machine Learning FoundationsVERIFIED
05Digital Competencies Certificate — "Emerging Professions in Computer Science", Titu Maiorescu University / ICI Bucharest, PNRR-funded program, February 2026 — graduated with 10.00VERIFIED
06100 Days of Code: The Complete Python Pro Bootcamp (Angela Yu)VERIFIED

Open to new roles

Let's build something
with data.

Contract, full-time, or a quick chat about a data problem — I'd love to hear from you.

Contact me

GitHub LinkedIn

CAMELIASAMUILA

About

Projects

Bank Customer Churn Prediction (Personal Project, April 2026)

"Ether" — Yoga & Meditation iOS App (Bachelor's Thesis Project, June 2025)

Noro Astro (Personal Project)

SQL Practice — Query Collection