Alexandre C.

You have complex data challenges, research-level AI problems, or high-stakes machine learning projects — I help you turn them into concrete, measurable results.

With a background spanning Mathematics, AI research, and applied Data Science, I bridge the gap between cutting-edge academic research and real-world business impact. Whether you need to extract hidden patterns from your data, build custom AI architectures, or push the boundaries of what machine learning can do for your organization, I bring both the theoretical depth and the hands-on engineering skills to deliver.

What I bring to your projects:

My expertise covers the full data and AI spectrum — from exploratory data analysis and statistical modeling to advanced deep learning architectures such as Graph Neural Networks (GNNs), Transformers, and topological AI methods. I specialize in problems that standard off-the-shelf solutions cannot solve, making me the right fit for R&D teams, deep tech startups, and innovation-driven companies.

Where I add unique value:

My research background in topology and mathematics gives me a rare ability to model complex, non-Euclidean data structures and design custom model architectures tailored to your specific use case. If your data is relational, sequential, high-dimensional, or simply hard to interpret, I know which algorithms and approaches will work — and why.

Typical deliverables & project types:

Advanced ML/AI model design and implementation

Tabular data analysis, feature engineering & predictive modeling

Graph-based learning and network analysis

AI R&D consulting and research prototyping

Data pipeline architecture and analysis workflows

I work with clients in tech, finance, and research institutions who need more than a standard data scientist — they need a problem solver with research-level rigor.

Here is my LinkedIn profile if you want to know more about me: