João P.CTO
Skills
As a Partner and Chief Digital Officer focused on generative artificial intelligence in the market intelligence sector, extensive experience in leading innovative initiatives has been gained. The development of a unique, client-oriented product led to national recognition and significant investment, achieving a valuation of USD 20 million and underscoring the competitive importance within the American economy.
In addition to leadership in the tech industry, contributions to the Oncology Department at a leading hospital involve providing data and analysis for international publications, with notable participation in conferences such as ESMO in Switzerland and Madrid, and ASCO in Chicago.
Possessing a robust background in data and AI, qualifications include professional certifications as a Machine Learning Engineer and Data Engineer, with expertise in Python, SQL, LLMs, LangChain, LangSmith, Transformers, HuggingFace, PyTorch, TensorFlow, Pinecone, AstraDB, ChromaDB, Deep Lake, FAISS, Qdrant, PostgreSQL, MySQL, FastAPI, Docker, Google Cloud, Microsoft Azure Open AI, Nvidia NGC, Scikit-learn, Matplotlib, Seaborn, Plotly, Statsmodels, SciPy, Numpy, Pandas, Polars, OpenCV, Mage AI, Kubeflow, Streamlit, Git, and GitHub.
A dedication to the AI and data community includes founding an AI hub at a local university, organizing meetings, training sessions, and events to facilitate knowledge sharing. The curriculum for AI and data courses is actively shaped while also creating monthly meetups for professionals in the field in collaboration with various entities.
Currently, exploration of opportunities to support the regional technology startup ecosystem is ongoing, including an in-depth study of the Itaú Cubo initiative to potentially implement a similar program with local academic and industry partners.
Partner & Chief Data Officer
10/1/2022 - Present
Served as Partner and Chief Data Officer at a pioneering AI startup, spearheading the transformation of the company into a leader in the Generative AI sector. Strategically implemented cutting-edge AI technologies to maintain industry leadership, developing a comprehensive roadmap to integrate these advancements. Managed the entire data strategy, covering data collection, data management, and value generation from data assets, ensuring sustained success and progress.
Notable achievements include contributing to a company valuation of USD 20MM and securing investment from leading figures in international management consulting as well as a two-time unicorn founder.
The startup's innovative efforts and strategic importance were recognized by the American Government through the granting of the National Interest Waiver. This prestigious acknowledgment signifies the competitiveness and strategic significance of the startup, solidifying its position as a key player in the U.S. tech innovation ecosystem. These accomplishments highlight a relentless commitment to pushing the boundaries of Generative AI.Data Scientist/ML Engineer
3/1/2021 - 10/1/2022
Developed proficiency in machine learning, deep learning, and statistics, utilizing these skills to drive significant business results. Gained extensive experience in data-driven insights to align data strategies with broader organizational goals. Demonstrated expertise in leveraging tools and frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development, as well as in data visualization tools like Tableau and Power BI. Worked across diverse industries to identify opportunities for growth, streamline operations, and optimize decision-making processes. Enhanced skills in data preprocessing and feature engineering using Python and R. Collaborated effectively with Management Consultant teams to ensure seamless integration of business and AI areas. Employed advanced data management and manipulation techniques using SQL and Spark. Ensured collaborative project execution through version control systems such as Git, maintaining code quality and reproducibility.Data Analyst
1/1/2021 - 3/1/2021
Served as a data analyst specializing in deriving actionable insights for the pharmacy's executive board. Developed proficiency in data analysis tools such as SQL, Python, and R. Utilized advanced Excel for data manipulation and visualization. Implemented predictive models using machine learning algorithms to forecast inventory needs and sales trends. Conducted data cleansing and preprocessing to ensure high-quality datasets. Leveraged data visualization tools like Tableau and Power BI to create dashboards that facilitated strategic decision-making. Collaborated closely with IT to enhance data reporting systems and streamline data pipelines using ETL processes. Demonstrated strong skills in statistical analysis, hypothesis testing, and A/B testing to uncover trends and inform business strategies. Adept at communicating complex data insights to non-technical stakeholders, aiding in the formulation of data-driven business practices.
Computer Engineering at FUMEC University
2020 - 2026
TensorFlow Developer Professional Certificate - Course 1 at DEEPLEARNING.AI
7/1/2022Google Cloud Certified - Professional Machine Learning Engineer at Google
7/1/2022Google Cloud Certified - Professional Data Engineer at Google
6/1/2022Engineering Virtual Program at GOLDMAN SACHS
5/1/20222nd place in the AI section and 3rd place overall in the Falconi Artificial Intelligence Challenge. at Falconi
8/1/2021Using Python for Research at HARVARD UNIVERSITY
7/1/2021Management for Results at Falconi
7/1/2021Introduction to Computational Thinking and Data Science at MIT - MASSACHUSETTS INSTITUTE OF TECHNOLOGY
12/1/2020Databases: Relational Databases and SQL at STANFORD UNIVERSITY
10/1/2020Introduction to Computer Science and Programming Using Python at MIT - MASSACHUSETTS INSTITUTE OF TECHNOLOGY
8/1/2020
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