Senior Data Science
Oracle (02/2022 - Present)
• Oracle Retail Data Science;
ML Researcher & Data Scientist
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I am a Biomedical Engineer with a passion for Machine Learning and Image Processing and building solutions that translate raw data into knowledge and information. I have 8+ years of experience in academic R&D, and 6+ years of experience as a Data Science and Machine Learning consultant. I've worked on a variety of problems involving Georeferenced data, Timeseries data, NLP, Medical Images (DICOM) and Computer Vision. I've worked on complex visualization solutions for Telecommunications data, Recommendation systems for B2B retail, Object Recognition and Tracking for the medical sector, and Mechanical Failure Forecasting for predictive engine maintenance. I've been developed scalable data-driven NLP and Timeseries solutions on the cloud for a client in the financial sector.
Thesis: Data Fusion for Disease Detection through Machine Learning
Thesis: Tissue Displacement Tracking Method in Intravascular Ultrasound Sequences DOI:10.1002/jum.15007
Final Project: 3D modeling of tomographic images
• Oracle Retail Data Science;
• NLP Model Research and Development;
• Creation of NLP models for Classification, entity Recognition, Sentiment Analysis;
• Deployment of models on the cloud;
• Data processing pipelines using PySpark;
• Model lifecycle management through CI/CD in Azure Databricks.
• Development of intuitive dashboards for data analysis;
• Automate processes such as problematic zone detection, timeseries abnormality detection, drive-test reporting, and network quality analysis;
• Implementation and maintenance of timeseries forecast, automatic geographical binning, site clustering and intersite distance calculations;
• Lead PoC evaluation for acquisition of new tools/services;
• Data preparation and engineering & creation of geographical layers (Geoserver);
• Big Data engineering using Hive, Pyspark (Zeppelin).
• Responsible for implementing machine learning solutions, data engineering, statistical analysis, and data visualization in various data-driven projects;
• Development and implementation of machine learning models using Tensorflow, Keras, Scikit-learn, OpenCV as well as GCP;
• Participation in several projects performing data cleaning and pre-processing, custom model design and transfer learning, time-series analysis and prediction, time-series classification, image detection, and image classification;
• Statistical analysis and hypothesis testing of healthcare and medical data;
• Development of data pre-processing pipeline and visualization of geographic coordinate system data;
• Responsible for designing IoT system for remote sensing/controlling applications, including project conceptualization, components selection & acquisition, PCB design, cloud connectivity implementation (MQTT), and system troubleshooting;
• Working closely with clients to identify problems, budget planning, timeframe assessment, and propose viable solutions.
• Responsible for developing image analysis and computer vision solutions to evaluate and quantify nanomaterial surface characteristics using Matlab, Python, and Origin;
• Responsible for performing statistical analysis on test data;
• Elaboration of a technical report of project results;
• Presented research in international conferences and journal publications.
• Analyzing and processing sensor data collected from a robotic system to classify motion behavior for gait analysis;
• Created automated data processing pipeline for robotics sensor data (MATLAB);
• Responsible for motion capture video analysis and processing using VICON mocap system and MATLAB;
• Working closely with world-class multidisciplinary teams on the Soft Exosuit Robotic system research project (Warrior Web/DARPA);
• Gained valuable experience in Biomechanical Data Acquisition, robotic system testing, and real-time system troubleshooting.
• Responsible for evaluating the quality and safety of neonatal ICU and surgical theater's medical devices;
• Worked directly with other engineers and hospital directors in order to evaluate the efficiency of maintenance cycles of medical equipment;
• Gained hands-on experience with the hospital environment, and hospital staff interactions;
• Identified current bottlenecks and presented proposed solutions to chief Clinical Engineer and Hospital Director.
GRINET, MARCO A. V. M.; MORAES, MATHEUS CARDOSO
SILVA, FERNANDA; GRINET, MARCO A. V. M.; FIGUEIREDO, HELOSMAN
ZAMPRONI, L. N.; GRINET, MARCO A. V. M.; MUNDIM, M. T. V. V.; REIS, M. B. C.; GALINDO, L. T.; MARCIANO, F. R.; LOBO, A. O.; PORCIONATTO, M.
ANDRADE, PATRICIA OLIVEIRA; GRINET, MARCO ANTÔNIO VIEIRA MACEDO; COSTA, MAIRA MAFTOUM; SANTO, ANA MARIA ESPIRITO; MARCIANO, FERNANDA ROBERTA; LOBO, ANDERSON OLIVEIRA
SIQUEIRA, IDALIA A. W. B. ; OLIVEIRA, CILIANA A. G. S.; ZANIN, HUDSON; GRINET, MARCO A. V. M. ; GRANATO, ALESSANDRO E. C.; PORCIONATTO, MARIMELIA A.; MARCIANO, FERNANDA R.; LOBO, ANDERSON O.
GRINET, MARCO A. V. M.; ZANIN, HUDSON; GRANATO, ALESSANDRO E. C.; PORCIONATTO, MARIMELIA; MARCIANO, FERNANDA ROBERTA; LOBO, ANDERSON O.
GRINET, MARCO A. V. M.; Yoneyama, T. ; MORAES, M. C.
GRINET, MARCO A. V. M.; Yoneyama, T. ; MORAES, M. C.
SILVA, F. C.;GRINET, MARCO A. V. M.; FIGUEIREDO, H.
ZAMPRONI, L. N.;GRINET, MARCO A. V. M.; VIEIRA-MUNDIM, M. V.; REIS, M.B.; GALINDO, L.T.; MARCIANO, F. R.; LOBO, A. O.; PORCCIONATO, M.
ANDRADE, P. O.; SANTO, A. M. E.; COSTA, M. M.;GRINET, MARCO A. V. M.; LOBO, A. O.
GRINET, MARCO A. V. M.; Thiago M. Pedroso; Fernanda R. Marciano.
GRINET, MARCO A. V. M.; Thiago M. Pedroso; Fernanda R. Marciano.
GRINET, MARCO A. V. M.; Thiago M. Pedroso; Fernanda R. Marciano.
ZAMPRONI, L. N.;GRINET, MARCO A. V. M.; GRANATO, A.; VIEIRA-MUNDIM, M. V.; REIS, M.B.; GALINDO, L.T.; OVANDO, P. C.; MARCIANO, FERNANDA R.; LOBO, ANDERSON O.; PORCCIONATO, M.
GRINET, MARCO A. V. M.; MARQUES, V. E. C.; CORAT, E. J.; MARCIANO, F. R.; LOBO, A. O.
ZAMPRONI, L. N.;GRINET, MARCO A. V. M.; VIEIRA-MUNDIM, M. V.; GRANATO, A.; MARCIANO, F. R.; LOBO, A. O.; PORCCIONATO, M.
ZAMPRONI, L. N.; PORCIONATTO, MARIMELIA A.; LOBO, ANDERSON O.; REIS, M.B.; VIEIRA-MUNDIM, M. V.; GRINET, MARCO A. V. M.; GRANATO, A.
GRINET, MARCO A. V. M.; MARCIANO, F. R.; LOBO, A. O.
GRINET, MARCO A. V. M.; MARCIANO, F. R.; LOBO, A. O.
Description: Organized by Universidade da Beira Interior, sponsored by Banco Santander Totta.
Title: Redução de Risco Cirurgico Através da Avaliação de Diagnósticos por Imagem Médica
Description: A 10-month fellowship for first-year PhD students sponsored by Banco Santander Totta.
Situation: Concluded.
Description: Best presentation in the 7º Simpósio de Processamento de Sinais was invited to publish a complete paper in the Journal of Communication and Information Systems (JCIS, ISSN: 1980-6604).
Title: Ciência Sem Fronteiras - Johns Hopkins University (Baltimore, U.S.A.)
Description: Program 163, call CsF 143/2013 - EUA/FULBRIGTH - Group B. Process: 88888.029748/2013-00
Situation: Concluded.
Title: Production of Polymeric Nanofibers through Rotary Jet-Spinning Technique
Description: The objective of this work will be the production of nanofibers aligned by the technique of rotofiation with and without conductive nanoparticles.
It is expected to obtain the alignment of polymeric nanofibers with conductive nanoparticles in their structure.
Situation: Concluded.
Description: One of the top 5 best short papers in the area of Nanoscience and Applied Nanotechnology presented at the XVII Encontro Latino Americano de Iniciação Científica, Universidade do Vale do Paraíba.
Description: One of the top 5 best short papers in the area of Nanoscience and Applied Nanotechnology presented at the XVI Encontro Latino Americano de Iniciação Científica, Universidade do Vale do Paraíba.