m
myokaiser

Enrico G

@myokaiser
Frankrijk
Frans, Engels
Sommige informatie wordt in het Engels weergegeven.
Over mij
Hi! I'm a Computer Science Engineer in AI and Data Science, with a Master's degree in Machine Learning and Optimization. I help individuals and businesses turn data into actionable solutions. My expertise includes: - Python development & automation - Data analysis & visualization - Power BI dashboards & Excel automation - Machine Learning & predictive modeling - SQL, BigQuery & ETL pipelines I work with Python, Pandas, NumPy, Scikit-learn, PyTorch, SQL, Power BI, GCP and other modern technologies. I deliver clean, reliable and well-documented solutions. Let's bring your ideas to life!... Lees meer

Skills

m
myokaiser
Enrico G
offline • 

Bekijk mijn diensten

Gegevens opschonen
I will clean and preprocess your data using python
Automatiseringen
I will do excel and vba automation

Werkervaring

Consulting

Data Science and Full Stack Engineer

Consulting

Jan 2025 - Jul 2025 • 6 mos

• Refactored front-end components and data pipelines for a client application handling sensitive datasets of 1M+ rows (Training funding bodies), and implemented automated data update workflows to improve performance and consistency • Designed and implemented a conversational AI to guide users toward the most relevant application features, presented to clients through to production deployment

Finance

Data Science Assistant

Finance

Aug 2023 - Jan 2024 • 5 mos

• Built and labeled a large-scale user feedback dataset spanning 700 applications used daily by 105,000 civil servants, applying NLP techniques for text classification and semantic grouping under constrained computational resources • Developed a relevance-based search engine and dashboards to deliver a functional end-to-end POC for stakeholders

Digital_Marketing Company | Expert Online Marketing Services

Technical Account Manager

Digital Marketing Company | Expert Online Marketing Services

Feb 2022 - Jul 2022 • 5 mos

- Automated end-to-end ETL workflows using BigQuery and Airflow for a portfolio of 100+ enterprise clients, processing files ranging from 1,000 to 1,000,000 rows - Translated existing Python and Bash scripts into optimized SQL pipelines, significantly reducing manual intervention and processing time