Keras

A skilled Data Scientist with substantial experience in Python programming, particularly utilizing libraries such as Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, and Keras, alongside SQL and Power BI for data analysis and visualization. Proficient in data scraping automation and collaboration with global teams to resolve data-related client issues, having successfully led data science projects in the energy sector by employing the CRISP-DM framework and Agile methodologies. As an instructor, effectively conveyed foundational concepts of Python and machine learning, enhancing learners' understanding of regression, classification, clustering, and advanced ML techniques. Holds a specialization in Neural Networks from MIT and certifications in Python and SQL from Kaggle.

Possessing a strong foundation in Chemical Engineering and Computer Science, this professional has made significant contributions in the chemical industry as a laboratory and production intern, and as an innovation researcher focusing on Industry 4.0 technologies. Currently employed as a Data Scientist, expertise encompasses developing solutions in Data Science, Analytics, Machine Learning, and IoT. Proficient in statistical modeling, computer vision, and deep learning using Python-based frameworks and tools, with hands-on experience integrating edge devices and cloud services. Additionally, has demonstrated academic involvement through research initiatives and software development for educational purposes, further enhancing skills in advanced analytics and process control.

Possessing a postgraduate degree in Machine Learning and an undergraduate degree in Spanish Language Studies, this candidate aims to further their expertise in Natural Language Processing (NLP). They bring over a decade of experience as a language educator and have been actively engaged as a translator and interpreter since 2018, expressing a keen interest in expanding professional experience in the IT sector. With over two years of hands-on experience in Python and data preprocessing libraries for predictive models, including classical algorithms and Transformers, they hold a Professional Certificate as a TensorFlow Developer from DeepLearning.AI. Additionally, they have authored a published paper on models applied to the classification of Spanish dialects and are fluent in Portuguese and Spanish, with advanced proficiency in English.

A dedicated and passionate academic professional with extensive experience in the field of Statistics, currently serving as a Substitute Professor in the Statistics Department at a prominent university. Pursuing a PhD in Statistics, specializing in Machine Learning and Computer Vision, with a robust foundation established through a Master's degree in Statistics and a Bachelor's degree in Mathematics. Noteworthy contributions include research on survival analysis and the application of Convolutional Neural Networks for mammogram image classification. Proven adeptness in data science applications, utilizing programming languages such as Python and R to facilitate educational projects and research initiatives. Committed to promoting education as a transformative power for individuals and communities.

An accomplished AI Engineer with a Bachelor's degree in Control and Automation Engineering, possessing significant expertise in robotics, computer vision, and deep learning. Proficient in a diverse range of technologies including Python, OpenCV, PyTorch, Linux, and C++, with substantial experience in mobile robotics and Agile methodologies. Demonstrated effectiveness in training transformer models for advanced applications in vegetation interference detection and developing innovative solutions for traffic violation detection, utilizing state-of-the-art techniques such as YOLOv8 and Docker-based microservices. Previous roles involved the design and implementation of face detection APIs and machine learning models for mobile applications, evidencing strong capabilities in both backend and mobile development environments.

Highly qualified Data Scientist and Data Analyst with extensive expertise in all phases of data mining project development. Experienced in handling both structured and unstructured data using a variety of databases, including relational, columnar, and NoSQL. Demonstrates advanced skills in Machine Learning and Artificial Intelligence, applying analytical capabilities to uncover solutions to business challenges. Proficient in SQL and programming languages for data manipulation and management of Business Intelligence (BI) and Analytics products and solutions. Capable of conducting proof of concepts (POC), data modeling, and managing multiple databases. Possesses experience in data administration and security, alongside a skeptical approach to existing assumptions to discover innovative solutions.