Cleunio Filho, Phd Candidate Email and Phone Number
I am a Systems Analyst with over 15 years of experience, specialized in solving complex problems and possessing deep knowledge in Machine Learning and Deep Learning. I am an enthusiast in the IT, combining my strong academic background with market experience, allowing me to effectively work in various areas and functions.In the role of a Data Scientist, I highlight my ability to develop an innovative algorithm in the field of image processing, which was crucial for improving lung segmentation. This work resulted in the attainment of my master's degree. My role as a researcher is characterized by multidisciplinarity, enabling me to contribute in various areas and culminating in the publication of a paper at the WFIoT Congress in 2023, demonstrating my commitment to the incessant pursuit of knowledge and innovation.Active researcher in Machine Learning and IoT, I highlight the creation of a new algorithm for lung segmentation and the proposition of models for availability, performance, and energy consumption in Smart Cities, presented at the WFIoT conference in 2023. With experience as a Project Manager at Petrobras, I successfully led the infrastructure update for the Petrobras Reynosa/Mexico unit, resulting in increased efficiency and the decommissioning of legacy systems, generating cost savings for the company. In the area of Network and Security, I possess skills in firewall, VPN, switches, and routers, ensuring the integrity and security of systems.E-mail: cleuniofranca@gmail.comCertifications:Oracle Cloud Infrastructure Data Science ProfessionalOracle Cloud Infrastructure AI Foundations AssociateOracle Cloud Infrastructure Foundations AssociateOfficial (ISC)² Certified in Cybersecurity (CC)AWS Data Science; Google Data Engineer; OCI Machine Learning; Deep Learning; Computer Vision; NPL; SQL; Spark; Python; R
Ignitus
View- Website:
- ignitus.org
- Employees:
- 15
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Data ScientistIgnitus Apr 2024 - Present -
Data ScientistCentro De Informática Ufpe May 2021 - PresentBrazilI integrate practical solutions with expertise in Machine Learning (ML) and the Internet of Things (IoT) to enhance proposals. I refine algorithms using advanced ML techniques, adapting results to specific needs. I utilize IoT devices to collect real-time data, enriching projects such as smart public lighting systems. I stay updated with the latest innovations in ML and IoT, ensuring our solutions remain at the forefront of technology.Based on real data: In addition to incorporating real-world solution implementations into my research, I dedicate my expertise in ML and IoT to further enhance proposed solutions. I have employed advanced machine learning techniques to refine algorithms, thereby increasing the accuracy and relevance of the results. By integrating ML models trained with specific data, we personalize the outcomes.Real-time data: I explored the application of IoT devices to collect real-time data and enrich my work. In my project involving smart cities and public lighting systems, we implemented IoT models to gather information from lighting poles. This data was integrated into the smart city lighting model, enabling results that reflect real-time availability, performance, and energy consumption.Adaptability: My approach assesses the needs of each project and determines how ML and IoT can be leveraged to provide more effective and innovative solutions. This includes analyzing project requirements, identifying opportunities to strategically apply ML and IoT in modeling public lighting systems.Continuous learning: I keep myself updated on advances in ML and IoT by engaging in research and development activities to explore new techniques and technologies applicable to our solutions, ensuring that we stay at the forefront of innovation. My dedication to technical excellence and knowledge drives me to explore new ways to integrate cutting-edge technologies into our research solutions, ensuring that we continue to exceed expectations. -
System AnalystTrt6 May 2018 - PresentI work with computer networks, mastering the intricacies of network systems to inform and drive intelligent decisions in Machine Learning. Here's how my journey unfolds:• Network Analisys: My work with networks and the role I develop is to find effective solutions for users. I embarked on a journey to highlight the potential of network analysis to drive business success, using advanced Machine Learning techniques for valuable insights.• Creation of Network Integration Tools for Analisys: I spearheaded the development of network analysis tools, providing crucial insights for IT infrastructure. These groundbreaking solutions process large volumes of data efficiently, allowing a deep understanding of network performance and optimization opportunities.• Automation of Network Design: As a network specialist, I utilized my skills to enhance network security and efficiency, ensuring smooth and secure communication between systems. My aim is to turn every aspect of the network into an opportunity to enhance integrity and performance.• Implementation of Machine Learning Code: We're exploring Machine Learning techniques to develop prediction and optimization models for network infrastructure. This innovative approach automates decision-making processes, providing predictive insights to ensure efficient and scalable network infrastructure.As a Machine Learning enthusiast, I'm at the forefront of integrating network analysis and Machine Learning. I'm on a mission to create solutions that drive efficiency, security, and innovation in enterprise networks.
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System AnalystPetrobras Aug 2014 - May 2018Rio De Janeiro, BrasilI am a seasoned project manager with a fervent dedication to spearheading transformative initiatives that drive organizational success. Throughout my career, I have had the privilege of leading challenging and impactful projects, leaving an indelible mark on process optimization and resource maximization.Most recently, I had the honor of overseeing two significant projects that shaped the trajectory of the organizations I've been involved with. Firstly, I led the implementation of a new infrastructure for the Reynosa refinery in Mexico. This endeavor brought about essential modernization, enhancing not only the local infrastructure but also yielding a myriad of additional benefits, including improved operational efficiency and heightened security.Furthermore, I spearheaded the decommissioning project of legacy systems. This endeavor not only resulted in substantial cost savings for Petrobras but also facilitated a seamless transition to more modern and efficient technologies. The decommissioning of legacy software not only streamlined costs but also paved the way for future innovations and technological advancements.As a project manager, I remained steadfast in driving initiatives that propelled operational excellence and fostered long-term organizational success. I continuously sought out new challenges and opportunities to make a tangible impact. -
ResearcherNutes - Núcleo De Telessaúde Do Hc/Ufpe Jan 2011 - Jul 2014Recife, Pernambuco, Brasil- PACS (Picture Archiving and Communication System) Configuration and Installation at Hospital das Clnicas de Pernambuco -
ResearcherUfpe Feb 2011 - Aug 2013BrazilMachine Learning - Image Processing - MATLAB - CRISP-DM:
Cleunio Filho, Phd Candidate Education Details
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Machine Learning - Networking - Performance Analysis - Iot -
Ai - Artificial Intelligence | Machine Learning -
Computer Engineering
Frequently Asked Questions about Cleunio Filho, Phd Candidate
What company does Cleunio Filho, Phd Candidate work for?
Cleunio Filho, Phd Candidate works for Ignitus
What is Cleunio Filho, Phd Candidate's role at the current company?
Cleunio Filho, Phd Candidate's current role is Data Scientist | Machine Learning | IoT Specialist.
What schools did Cleunio Filho, Phd Candidate attend?
Cleunio Filho, Phd Candidate attended Centro De Informática Ufpe, Centro De Informática Ufpe, Centro De Informática Ufpe.
Who are Cleunio Filho, Phd Candidate's colleagues?
Cleunio Filho, Phd Candidate's colleagues are Durga Prasad Pandey ., Kumar Sourabh, Israel Nascimento, Utkarsh Shrivastav, Solomon Obong, Oghenefega Eghujovwo, Pranav Rawat.
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