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My name is Leylane Ferreira. I am a PhD candidate researching the use of Federated Learning over resource constraints in the IIoT context at Universidade Federal de Pernambuco (UFPE).
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I have five years of data science experience, including optimization, machine learning, and deep learning projects. Additionally, I worked on research projects that included using deep learning applied to image segmentation, resource allocation in composable systems, and resource allocation in cloud and 5G. I also had a brief experience teaching Big Data, Databases, Data Structure, Python, and IoT subjects.
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I’m currently working on Resource Allocation Federated Learning Project on PhD.
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I’m currently learning Kafka, LLMs, NLP and Google Cloud Platform.
- 2013 - 2016 → Universidade de Pernambuco
Bachelor in Information Systems - 2018 - 2020 → Universidade Federal de Pernambuco
Master in Computer Science - 2020 - Actual → Universidade Federal de Pernambuco
- 2018 - 2021 → GPRT: Developer
- Developed skills in Python for the implementation of optimization algorithms.
- Conducted data analyses and visualizations to generate insights for clients.
- Applied mathematical methods and statistical modeling for the validation of algorithms and solutions.
- Developed skills in reading and writing reports and documentation in English.
- 2022 - 2023 → Unifavip Wyden: Teacher
- Taught courses on Python development with a focus on tools for Big Data and Machine Learning such as Spark, Hadoop, Scikit-Learn, Pandas, TensorFlow, and Keras.
- Supervised teams in developing Machine Learning projects using algorithms for linear regression, clustering, and neural networks with open datasets.
- Developed communication and presentation skills.
🤗 Feel free to conctact me: