With over a decade (10+ years) of progressive experience in data science, machine learning, and AI in academic and industrial contexts, I have developed and led projects that have significantly impacted sectors such as healthcare, industrial automation, and public safety. Specializing in advanced analytics, my expertise spans the development of predictive models, anomaly detection systems, pattern recognition, and process optimization that generate impact and value for companies.
My technical competence includes a deep understanding of machine learning algorithms, data modeling, and simulation using a range of tools such as Python, SQL, MongoDB, and system integration. I have also led data-driven projects, demonstrating tangible benefits such as cost reductions and enhanced predictive capabilities in real-time systems.
As a senior professional, I guided teams in adopting best practices in software development and system design, ensuring data security and robust architecture. My roles involved extensive use of data visualization tools such as Grafana/Metabase to represent complex data insights clearly and effectively.
Core Technologies:
-Programming Languages & Libraries: Python (Pandas, NumPy, Scikit-Learn, statsmodel), Spark (PySpark) among others
- Python stack for AI: Langchain, LangGraph, HuggingFace, TensorFlow, PyTorch, etc
- AI Agents & Automation: n8n -Data Analysis & Machine Learning Tools: Jupyter, TensorFlow, PyTorch, Pycaret, Keras, Sorba AI (AutoML) -Database Management: MongoDB, MySQL, PostgreSQL IoT, IIoT & Embedded Systems: Raspberry Pi, Arduino, IoT Platforms (ESP32 and others), MQTT -Visualization & KPI Reporting: Grafana and Metabase -Development Practices: Agile, Scrum, and PMBOK -Integration Tools: AWS, NodeRED
Soft Skills:
-Leadership: Proven track record in leading academic programs and R&D teams. -Collaboration: Strong teamwork and project management capabilities, fostering cross-functional team synergy. -Communication: Effective communicator with experience in teaching, mentoring, and presenting at international conferences. -Problem Solving: Innovative problem solver, adept at tackling complex challenges with strategic data insights. -Adaptability & Continuous Learning: Committed to staying abreast of technological trends and applying them to real-world applications.