Roger O.

Back-end and Systems Engineer

Developer/Sysadmin
9/1/2019 - Present

Developed proficiency in managing Virtual Private Networks (VPNs) and droplets, ensuring secure and optimized network environments. Demonstrated expertise in maintaining company Git repositories, facilitating seamless version control and collaborative development. Exhibited technical skills in the upkeep and enhancement of Python-based systems, ensuring robust and efficient operations.

Scientific Initiation
7/2/2018 - Present

Developed proficiency in utilizing Python for implementing advanced big data techniques focused on sentiment analysis classification. Demonstrated skills in employing machine learning frameworks such as TensorFlow and Scikit-learn, alongside natural language processing libraries like NLTK and SpaCy, for text pre-processing and feature extraction. Leveraged Apache Hadoop and Spark for managing and analyzing large-scale data sets, ensuring efficient data processing and performance optimization. Utilized Kafka for real-time data streaming and integrated Elasticsearch for indexing and searching text data. Conducted extensive experimentation with various algorithms including Naive Bayes, Support Vector Machines, and deep learning models to enhance sentiment classification accuracy. Applied statistical analysis using Pandas and NumPy, with visualization facilitated through Matplotlib and Seaborn. Ensured collaborative project development and version control through Git, while also maintaining project documentation using Jupyter Notebooks.

Systems Analysis and Development at Uniasselvi
2017 - 2020

Data Analysis at Uncomplicate Entrance Exams
2021 - 2022

Data Science at Leonardo Da Vinci University Center
2020 - 2021