_

maxime.py

from education import DataScience

class Maxime(DataEngineer, MLEngineer):

"""

Developer bridging the gap between

models and production, architecting

scalable data & ML pipelines.

"""

def __init__(self):

self.role = "Lead Data / ML Engineer"

self.base = "Copenhagen, Denmark"

self.exp = 5 # years of experience

def mission(self) -> str:

return "From messy data to reliable predictions, at scale."

LEAD DATA / ML ENGINEER //
SCALABLE PIPELINES //
AI PRODUCT DEVELOPMENT

Languages
Python SQL Bash YAML
Cloud & Infra
Azure Databricks GCP AWS Docker GitHub Actions
Data Engineering
PySpark Airflow Delta Lake CI/CD Snowflake
ML Stack
TensorFlow PyTorch HuggingFace SpaCy MLflow XGBoost
Monitoring
Grafana Tableau PowerBI
Project Management
Agile Scrum Kanban JIRA Confluence Notion OKRs

~/seo-content-generator

view_source →
Python NLP

Automated content generation tool optimized for SEO performance.

~/openweather

view_source →
API Data Integration

Integration with OpenWeather API for real-time meteorological data analysis.

~/scoring-bank-project

view_source →
Data Science Scoring

Credit scoring model and analysis for banking customer data.

~/explore_all  →

// Interested in collaboration? Execute the command below.

> mailto:contact@maximehaegeman.dev