Bruno Henrique de Castro Evaldt

As a Data Analyst at Ilegra, I leverage customer data to identify high-risk clients and enhance credit policies using advanced analytics and machine learning. I conduct experiments to evaluate credit policy changes and utilize Generative AI for deeper insights into customer behavior.

In my role as Junior Data Analyst, I developed Power BI dashboards for stakeholders, translating business needs into actionable KPIs. I integrated data from various sources and collaborated with teams to improve BI adoption and report accuracy.

As a part-time Data Scientist, I utilized Python for predictive modeling in healthcare. I developed AI for remote patient monitoring and assessed data quality for machine learning applications, ensuring data integrity and model optimization.

As a Guide, I welcomed visitors and led tours at the Palácio Anchieta Cultural Space, providing historical insights and ensuring an engaging experience for both national and international guests.

As a Freelance Researcher, I performed statistical tests comparing physiological parameters in COVID-19 treatments, leading to published findings in a scientific article.

I used a Machine Learning algorithm to estimate the impact of climate change on the distribution of small mammals (rodents and marsupials) in the Atlantic Forest and Cerrado.

I worked mainly with genetics, bioinformatics, and phylogenetic systematics of mammals. My final paper was on the genetic structure of a genus of marsupials that live in the Serra do Mar in the state of Rio de Janeiro.