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Diego L.
Data Scientist

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Bio

With expertise in software analysis and development, the primary focus is on data science and machine learning solutions. Core competencies encompass data analysis, mining, and visualization, alongside system classification, regression, and optimization. Proficiencies extend to various domains, including machine learning, deep learning, natural language processing, and computer vision. Technical acumen is particularly strong in programming languages such as Python, R, JavaScript, and SQL.

  • Data Scientist / Data Engineer
    2/2/2020 - Present

    Developed expertise in machine learning with a focus on natural language processing (NLP) and computer vision. Leveraged tools such as TensorFlow, PyTorch, and Keras to build and optimize deep learning models. Applied NLP techniques including tokenization, stemming, lemmatization, and named entity recognition using NLTK and spaCy. Implemented computer vision solutions using OpenCV and YOLO for tasks such as image classification, object detection, and segmentation. Conducted extensive data preprocessing with Pandas and NumPy, ensuring high-quality datasets for model training. Utilized cloud platforms like AWS and Google Cloud for scalable machine learning deployments. Employed version control systems like Git for collaborative coding and reproducibility. Applied hyperparameter tuning, model evaluation metrics, and techniques like cross-validation to enhance model accuracy and robustness. Demonstrated ability to work with various machine learning frameworks, continuously integrating new research and techniques into practical applications.

  • Data Scientist
    4/2/2019 - 1/2/2020

    Specialized in the analysis and development of solutions leveraging artificial intelligence and machine learning models. Gained proficiency in programming languages such as Python and R. Employed databases such as MongoDB. Utilized a wide array of libraries including Numpy, Pandas, Matplotlib, Scikit-learn, Tensorflow, Keras, and Dask. Integrated web frameworks like Flask and Sanic. Enhanced machine learning processes with tools like TPOT and advanced natural language processing using spaCy.

  • Freelance Data Scientist
    3/2/2018 - 3/2/2019

    Delivered consulting services on data science projects in Bauru and Region, Brazil, focusing on structuring the development of solutions based on Artificial Intelligence (AI). Developed proficiency in machine learning algorithms, predictive modeling, and data analytics. Leveraged frameworks such as TensorFlow and PyTorch to design and implement AI models. Gained extensive experience with Python and R for data manipulation and model development. Utilized SQL and NoSQL databases for effective data storage and retrieval. Ensured the integration of AI solutions into existing systems using APIs and microservices architecture. Applied best practices in data preprocessing, feature engineering, and model validation to enhance solution accuracy and performance. Conducted thorough data analysis and visualization using tools such as Tableau and Power BI to communicate insights and support decision-making. Demonstrated expertise in cloud platforms like AWS and Azure for scalable and secure AI solution deployment. Emphasized collaborative efforts through the use of version control systems such as Git to maintain and update codebases efficiently.

  • Researcher - Master's Scholarship Holder
    3/2/2016 - 2/2/2018

    Gained extensive expertise in machine learning through research conducted for a Master's thesis in Computer Science. Specialized in the development and application of a Hybrid Particle Swarm Optimization Algorithm aimed at managing residential loads. Acquired advanced knowledge in artificial intelligence techniques and principles. Analyzed and optimized complex systems, demonstrating proficiency in algorithm development and data management within the context of AI-driven load management strategies. Employed various computational tools and frameworks to support research activities, contributing to the academic and practical advancements in artificial intelligence.

  • professor
    1/2/2014 - 12/2/2015

    Guided the development of computer science proficiency from basic operational levels to advanced software development across multiple platforms. Cultivated expertise in programming languages and frameworks including Python, Java, and JavaScript. Utilized and instructed on tools such as Git, SVN, and Docker for version control and containerization. Taught and implemented comprehensive knowledge of database management with SQL and NoSQL systems including PostgreSQL, MySQL, and MongoDB. Facilitated learning in front-end and back-end development, adopting technologies such as React, Angular, Node.js, and Express.js. Developed and delivered course materials that integrated system architecture and software engineering principles, ensuring a robust understanding of multi-platform development.

  • Software Engineer
    7/2/2013 - 3/2/2015

    Led technical development team, providing guidance and ensuring project alignment with management's directives. Managed communications with the Project Manager, including detailed reports on team performance, task progress, cost management, adherence to deadlines, and quality assessments. Oversaw the efficiency of production processes and the technological effectiveness of deployed solutions. Conducted thorough analysis and development of various software projects.

  • Systems Analyst
    1/2/2013 - 6/2/2013

    Contributed to the analysis and development of both desktop and web solutions utilizing advanced geolocation technologies. Integrated and overlaid various types of information for comprehensive data cross-referencing specific to geographical locations. Demonstrated technical expertise in handling geographic information systems (GIS) and spatial databases, enabling enhanced decision-making processes and spatial data visualization. Utilized tools and frameworks such as ArcGIS, QGIS, and PostGIS to support geospatial analysis and mapping projects. Employed programming languages like Python and JavaScript, alongside libraries such as Leaflet.js and Mapbox, to develop interactive maps and geospatial applications. Ensured data accuracy and consistency through rigorous data validation and cleansing procedures, leveraging SQL for spatial queries and data manipulation. Applied knowledge in web development frameworks and tools like React.js for creating dynamic front-end interfaces. Focused on optimizing system performance and user experience through efficient coding practices and extensive testing.

  • Software Developer
    6/2/2010 - 1/2/2013

    Successfully developed and maintained web and desktop systems, leveraging technical expertise in PHP, JavaScript, HTML, and CSS. Utilized frameworks such as Laravel and AngularJS to streamline development processes, while also employing tools like Git for version control. Gained proficiency in managing databases using MySQL and PostgreSQL, and ensured optimal system performance through regular updates and debugging. Demonstrated skills in creating seamless user experiences and efficient back-end functionalities, while adhering to best practices in software development and project management methodologies such as Agile and Scrum.

  • Bachelor of Computer Science (Artificial Intelligence) at Federal University of São Carlos
    2019 - 2024

  • Information Technology/Information Systems Technology at Systems Analysis and Development
    2010 - 2012

  • Information Technology at Etec Profª Helcy M. M. Aguiar
    2008 - 2009

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