Gaston Woollands

Data Scientist | MLOps Engineer | Finance

Data scientist specialized in machine learning and data-driven solutions.

With a strong foundation in developing scalable data systems, I focus on creating impactful projects that bridge the gap between data and business needs.

Projects

A collection of my professional work showcasing expertise in data science, machine learning, and software engineering.

Business Intelligence & Data

Project Description:

Design and implementation of Business Intelligence solutions to transform raw data into actionable insights. Projects include interactive dashboards, real-time analytics, and data pipelines for driving data-driven business decisions.

Technologies used:

Power BISQLETLData Warehousing

Quantitative Finance

Project Description:

Creation of quantitative finance models to predict derivatives pricing strategy, assess risk, and optimize portfolios. The focus is on applying advanced statistical methods and machine learning algorithms to financial data for strategic decision-making.

Technologies used:

PythonPandasNumPySciPyQuantLib

MLOps Pipelines

Project Description:

Design and deployment of robust ETL workflows and machine learning pipelines to support scalable, reproducible, and automated ML systems. Emphasis on data quality, versioning, and seamless integration from raw data to model deployment.

Technologies used:

Apache FlyteMLflowSparkPythonDockerKubernetes

Get in Touch

You can also reach me directly at:

[email protected]