I am working on the development of Artificial Intelligence solutions with a focus on Large Language Models (LLM) adapted to the needs of specific sectors. To develop these solutions, I continually use Python and SQL, in addition to the LangChain and PyTorch framework, and techniques such as PEFT, LoRA, and QLoRA.

I am a Data Science and Analysis mentor for people who want to change their careers or use data in their daily lives.

Data Science: Data Science: I am currently working on the development of a risk analysis product for Strada that we expect a return of 40M/year in revenue.

I led a technical team of four people during the construction of a risk analysis product capable of generating efficiency, reducing costs and increasing revenue for the company. My technical leadership involved not only the development of innovative solutions, but also the effective coordination of the project with management stakeholders, ensuring that the product was aligned with the company's strategic objectives and exceeded delivery expectations and the development of junior data scientists.

In addition, I worked on advanced technical fronts, implementing and deploying forecasting, clustering and process mining models. These models were crucial in empowering internal stakeholders to make informed, data-driven decisions, resulting in more effective decisions.

I managed the DS Community's teaching programs with a high satisfaction rate (NPS 90).

I implemented the mentoring program with more than 20 tutors that I supervised.

I developed automation to facilitate student management (Discord Bots, Data Crawler, KPI Data Visualization).

Organized learning events with high participation and satisfaction rates.

Skills: Python · SQL · Machine Learning · Data Science · Leadership · Data Analysis

I worked on managing technical stakeholders and developing a customer purchase categorization solution for a large bank. This solution is part of a software known as Personal Finance Management (PFM). Part of this solution is made up of a Large Language Model (BERT) which showed excellent results.

Skills: Python · SQL · Machine Learning · Deep Learning · Leadership · Apache Spark · Git · Amazon Web Services (AWS) · Data Science · Data Analysis

Data Science: I developed a model to predict total payment value that would be used by business managers.

Besides the model itself, we were interested in finding the main levers of impact and how we can use them to improve our products and services

Data Science: Developed a model to predict Net Promoter Score. With this model, we were able to predict and change the outcomes of ongoing bad assistances.

Moreover, we discovered the main levers of business quality which allow us to develop more effective action plans.

Skills: Python · SQL · Data Science · Data Analysis · Machine Learning · Amazon Web Services (AWS) · Natural Language Processing (NLP) · Leadership · Oracle · Linux

Professor of Software Engineering, Data Mining, and Graph Theory.

Skills: Python · SQL · Predictive Modeling · Software Development · Linux