📧 Email: arickjurdan.20221@poli.ufrj.br

I'm a Mathematical Engineering student at the University of Rio de Janeiro (UFRJ) with a strong focus on Data Science, Machine Learning, and Generative AI. I'm passionate about using technology to solve real-world problems, particularly through IoT, Time Series Analysis, and AI-driven solutions.

• Interests: I'm currently interested in expanding my knowledge in Deep Learning and the integration of IoT with real-time data analysis.

• Programming: C, Objective-C, R, SQL, Python, Julia

• Technologies: Power BI, Microsoft SQL Server

Principles, applications and implications.

• Technologies: Transformers, LLM, Incorporation Models, Computational Linear Algebra

Developed a smart irrigation management system that leverages IoT soil moisture sensors, aiming to automate soil monitoring, reduce manual inspections, and adapt to soil variations.

• Technologies: ZigBee, STM32CubeIDE, MQTT, capacitive sensors, DHT22, XBee S2C.

A project as part of the selection process for the UFRJ Analytica Academic League, involving analysis of a dataset with diverse indicators to draw statistical inferences using data science tools.

• Technologies: R, SQL, Google BigQuery.

• [Rio Oil & Gás Conference / In Preparation]
  Forecasting CBIO Prices on B3 with AI-Based Time Series Models to Support RenovaBio — D. A. Gandelman, K. C. P. G. Alekseev, A. J. dos Reis, J. P. P. Barreto.

• Simpósio Brásileiro de Redes de Computadores (SBRC) / Workshop Contributions
  Participation in workshops and Victorious Team at interdisciplinary initiatives combining mathematics, engineering, and artificial intelligence.

Feel free to explore my repositories, and don't hesitate to reach out if you'd like to connect!