Plataforma Microsoft BI

DevOps Product Owner

Neo4j &amp; LLM Fundamentals

Build a Neo4j-backed Chatbot using Python

Professional Master in Business Intelligence and Big Data

Official Master's Degree in Advanced Mathematical Methods in Physicss

Bachelor's Degree in Maths

Good understanding of machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Effective collaboration with data scientists to deploy and operationalize machine learning models.

Proficient Python language, and great experience with version control systems (e.g., Git), code review workflows, and software design patterns. Focus on writing robust, scalable, and maintainable code.

Working with AWS Cloud platform and be skilled in setting up and managing cloud infrastructure to deploy machine learning models and data pipelines. Knowledge of AWS security best practices and compliance requirements. Knowledge of Docker containerization technologies and container orchestration platforms like Kubernetes. 

Designing CI/CD pipelines in MLFlow and AWS Sagemaker to automate the model deployment process, allowing for faster iterations and reliable deployments.

Proficiency in data engineering tasks, such as data ingestion, data storage solutions (e.g., relational

Senior ML Engineer

Delivered university classes in: 
•	Mathematics (Algebra, Geometry, Mathematical Analysis, etc.), Physics and 
•	Statistics o Econometrics and Statistics applied to Economics o Microsoft Excel Classes o Databases 
        with Access o Mathematical and Statistical Software: SPSS and Matlab. 
•	C+/.NET Programming languages.

Exact Sciences, Statistical / Mathematical Software Professor

•	Performed Data Analyst and Business Intelligence consultant in financial services projects for Santander Bank. Data Governance Expert.

•	Mastered and operated complex statistical analysis systems and solutions in SAS, R and Phyton. Predictive and Data Analytics models.
•	Performed RPA consultancy projects for a Real Estate company through tools and applications such as Blue Prism, Automation Anywhere. 
•	Developed solutions in C#, .NET. programming. 
•	Expert in Data Visualization Tools such as Power BI, Tableau and Qlikview, performing Financial/Quality/HHRR/Processes Dashboards for different CEOs at Ernst & Young.

Business Analyst & Data Scientist Consultant,  Ernst & Young

•	Design and implement data driven solutions for the energy industry using Machine Learning. Use cases include predictive maintenance, fraud detection and customer acquisition.
Data Governance developer.
•	Mixture of software engineering, data analytics and machine learning analyst.
•	Processing of Big Data from Streaming tools into the Data Lake structured environments. Azure Data Lake and Redshift Amazon Web Services.
•	Development of batch and ETL procedures for cleaning data.
•	Building, training and Deployment Machine Learning models.
•	Large experience with analytical tools supporting data evaluation and reporting, as well as querying large, complex data sets (Splunk, Tableau, SQL, R, etc).

Senior Data Scientist & Data Analyst

Deep understanding of machine learning algorithms, statistical analysis, data mining, and predictive modeling. Apply these techniques to solve complex business problems effectively.

Proficiency in Python language. Good software engineering skills to develop scalable and maintainable code, implement data pipelines, and work with production systems.

 Knowledge of popular machine learning libraries and frameworks like scikit-learn, TensorFlow, or PyTorch.

Experience with big data technologies, such as Hadoop, Spark, or distributed databases.

Understanding business goals, industry trends, and aligning data science projects with business objectives for delivering value to the organization.

Lead and mentoring of data science teams, set project priorities, and ensure the successful execution of projects.

Lead Data Scientist

•	Evaluate, Plan and Develop end to end solutions and proposals for Telecom Industry using Advanced Analytics & Machine Learning (pre-sales & post-sales). 
•	Projects: New Product to Buy models (NPTB)
•	Topics & Technologies: Explainable ML modeling, Python Stack for Data Science, PySpark for production environment, SQL and Oracle databases, Docker/Kubernetes/OpenShift, On-premise servers & AWS Platform.

Senior Data Engineer & Data Scientist

•	Operated extensive Database projects in Microsoft SQL Server Platform. 
•	Developed ETLs and Batch processes with SQL Server Integration Services (SSIS). BIML language knowledge for SSIS.  
•	Developed analysis Services Solutions with SSAS and Analytical OLAP cubes. 
•	Performed reporting with integrated Visualization Tools for Sharepoint and SQL Server Reporting Services. 
•	Developer in Microsoft Azure Data Lake Platform.

Business Analyst Consultant

GenAI & Software Engineer specialized in building production-ready AI systems that combine strong software engineering foundations with modern LLM capabilities.

Over the last years, I have worked on enterprise GenAI initiatives involving agentic architectures, tool/function calling, RAG pipelines, structured AI workflows and backend services. My role spans from system design and API development to testing, observability, CI/CD and production hardening, using technologies such as Python, TypeScript, LangChain/LangGraph, cloud AI services and modular backend architectures.

I focus on engineering reliable GenAI products beyond the prototype stage: scalable services, robust tool orchestration, evaluation-driven development, secure API integrations and maintainable architectures that can be reused across teams and use cases.

Developer & Founder

Building Adaptix, an adaptive workout planner that adjusts training around recovery, performance and how you feel.

Know about Antonio Zaballos Sánchez's work experience, education, and much more. Antonio Zaballos Sánchez