À propos de Patricia
Hello, I am an AI/ML Technical Project Manager with a strong focus on structuring processes, coordinating teams, and delivering reliable, high-quality solutions in complex environments.
I bring a solid technical background in AI, Machine Learning, RAG, Python, and cloud environments (AWS), combined with hands-on experience in DevOps and scalable system deployment. This allows me to effectively bridge the gap between technical teams and business needs.
I have extensive experience working in fully remote environments, managing distributed and offshore teams, ensuring smooth collaboration across time zones.
I thrive at the intersection of business and technology, translating complex requirements into clear, actionable strategies and ensuring efficient execution across cross-functional teams.
My experience includes leading AI-driven projects, improving operational efficiency, and maintaining high delivery standards in fast-paced environments. I enjoy staying close to the technical aspects, from architecture discussions to code reviews, while maintaining a strong focus on delivery and impact.
Alongside my professional background, I have a strong interest in financial markets, wealth management, and long-term value creation. This complements my analytical mindset and strengthens my approach to risk, decision-making, and strategic thinking.
I am particularly interested in roles that combine client experience, operational excellence, and process optimization, whether in technology, financial services, or other demanding industries.
Trilingual (English, French, German), I am comfortable working in international and multicultural environments.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Allemand
Capacité professionnelle complète
Suisse allemand
Capacité professionnelle complète
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- data IQ AGAI/ML Technical Project ManagerAGENCE & SSIIjuillet 2023 - Aujourd'hui (2 ans et 11 mois)Zug, Switzerlanddata IQ AG helps organizations to implement an effective data strategy. The services, ranging from workshops and audits to long-term strategy implementation, can be tailored to the specific needs of the company and help to develop an effective data strategy. Data Collection, Analysis and Processing Develop data models that improve processes and add strategic value to businesses General Digital Marketing Strategy
- Code-Art Solutions GmbHFull Stack DeveloperAGENCE & SSIIseptembre 2015 - décembre 2018 (3 ans et 3 mois)Zug, SwitzerlandCode-Art Solutions is a full-stack development agency dedicated to crafting innovative and user-centric applications for both web and mobile platforms.
- Innovative Web AGWeb DeveloperAGENCE & SSIIaoût 2013 - septembre 2015 (2 ans et 1 mois)Zürich, Switzerlandi-web ist die führende Anbieterin von CMS und eGovernment Lösungen für Schweizer Gemeinden, Städte und Kantone.
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Formations
- Master CS, Machine Learning Engineering, diploma co-certified by MINES ParisTech | PSL, Data ScienceDataScientestData Science : ◼️ Programming : Python (Numpy, Pandas) ◼️ Dataviz : Maplotlib, Seaborn, Bokeh ◼️ Machine Learning : Scikit-learn, classification, regression, clustering, dimensionality reduction, Statsmodels, Text Mining, NetworkX ◼️ Data Engineering : SQL, Data Processing, PySpark ◼️ Deep Learning : TensorFlows, Keras, CNN-RNN, Gans ◼️ AI : Reinforcement learning, Deep reinforcement learning MLOps : ◼️ Advanced Programming : Python Multithreading, Multiprocessing, Bash Linux ◼️ CI/CD : Git, GitHub, Gitlab, Azure DevOps, Google Cloud Source, AWS CodeCommit, Unit Testing ◼️ Automation & Deployment : Docker, Fast API, Airflow, Kubernetes Data Product Management : ◼️ Data Governance : RGPD, Ethics, Data Types, Culture ◼️ Data Management : Data Quality, APIs ◼️ Project Management : Agile ◼️ Business Intelligence : PowerBi, Make, Tableau
- Data Analyst, diploma co-certified by MINES ParisTech PSL, Data ScienceDataScientest.com2023350 hours of classes : ◼️ Programming : Python (Pandas, Numpy) ◼️ Data visualisation : Maplotlib, Seaborn, Bokeh ◼️ Machine Learning : Scikit-Learn, Regression, Classification, Clustering ◼️ Extraction : Text Mining, Webscraping ◼️ Big Data / Database : PySpark, SQL ◼️ Business Intelligence : PowerBi, Tableau, Looker Studio 50-hour project: Developing an application for HR professionals that determines which job matches given skills ◼️ Data exploration, cleaning, processing and visualization ◼️ Model training and machine learning evaluation ◼️ App deployment on Streamlit