Gabriel Barros Lins
Data Scientist at Genoa Performance- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
Topline Score
Bio
Raphael Fontes
I have had the distinct pleasure of working closely with Gabriel as a data analytics and scientist professional, and I wholeheartedly recommend them for any endeavor in the field. Gabriel is nothing short of exceptional when it comes to data analytics and scientific inquiry. He has a unique talent for not only creating insightful dashboards but also effectively communicating their findings to clients and stakeholders. This ability to bridge the gap between data analysis and effective communication sets Gabriel apart as a true asset in any data-driven organization. One of the standout qualities of Gabriel is his remarkable ability to quickly adapt to new challenges and technologies. In our time working together, I witnessed Gabriel tackle complex problems with unwavering determination and an eagerness to learn. This is especially evident in their keen interest in Transformers and Large Language Models with generative AI. He hasn't only shown a passion for these cutting-edge technologies but have also demonstrated their capability to integrate them into our data analytics projects effectively. I'm confident that Gabriel will continue to excel and contribute significantly to any organization he chooses to be a part of. If you are seeking a data analytics and scientist professional who can create insightful dashboards, engage effectively with clients, and rapidly adapt to new challenges, Gabriel is the ideal choice. They have my highest recommendation without reservation.
Raphael Fontes
I have had the distinct pleasure of working closely with Gabriel as a data analytics and scientist professional, and I wholeheartedly recommend them for any endeavor in the field. Gabriel is nothing short of exceptional when it comes to data analytics and scientific inquiry. He has a unique talent for not only creating insightful dashboards but also effectively communicating their findings to clients and stakeholders. This ability to bridge the gap between data analysis and effective communication sets Gabriel apart as a true asset in any data-driven organization. One of the standout qualities of Gabriel is his remarkable ability to quickly adapt to new challenges and technologies. In our time working together, I witnessed Gabriel tackle complex problems with unwavering determination and an eagerness to learn. This is especially evident in their keen interest in Transformers and Large Language Models with generative AI. He hasn't only shown a passion for these cutting-edge technologies but have also demonstrated their capability to integrate them into our data analytics projects effectively. I'm confident that Gabriel will continue to excel and contribute significantly to any organization he chooses to be a part of. If you are seeking a data analytics and scientist professional who can create insightful dashboards, engage effectively with clients, and rapidly adapt to new challenges, Gabriel is the ideal choice. They have my highest recommendation without reservation.
Raphael Fontes
I have had the distinct pleasure of working closely with Gabriel as a data analytics and scientist professional, and I wholeheartedly recommend them for any endeavor in the field. Gabriel is nothing short of exceptional when it comes to data analytics and scientific inquiry. He has a unique talent for not only creating insightful dashboards but also effectively communicating their findings to clients and stakeholders. This ability to bridge the gap between data analysis and effective communication sets Gabriel apart as a true asset in any data-driven organization. One of the standout qualities of Gabriel is his remarkable ability to quickly adapt to new challenges and technologies. In our time working together, I witnessed Gabriel tackle complex problems with unwavering determination and an eagerness to learn. This is especially evident in their keen interest in Transformers and Large Language Models with generative AI. He hasn't only shown a passion for these cutting-edge technologies but have also demonstrated their capability to integrate them into our data analytics projects effectively. I'm confident that Gabriel will continue to excel and contribute significantly to any organization he chooses to be a part of. If you are seeking a data analytics and scientist professional who can create insightful dashboards, engage effectively with clients, and rapidly adapt to new challenges, Gabriel is the ideal choice. They have my highest recommendation without reservation.
Raphael Fontes
I have had the distinct pleasure of working closely with Gabriel as a data analytics and scientist professional, and I wholeheartedly recommend them for any endeavor in the field. Gabriel is nothing short of exceptional when it comes to data analytics and scientific inquiry. He has a unique talent for not only creating insightful dashboards but also effectively communicating their findings to clients and stakeholders. This ability to bridge the gap between data analysis and effective communication sets Gabriel apart as a true asset in any data-driven organization. One of the standout qualities of Gabriel is his remarkable ability to quickly adapt to new challenges and technologies. In our time working together, I witnessed Gabriel tackle complex problems with unwavering determination and an eagerness to learn. This is especially evident in their keen interest in Transformers and Large Language Models with generative AI. He hasn't only shown a passion for these cutting-edge technologies but have also demonstrated their capability to integrate them into our data analytics projects effectively. I'm confident that Gabriel will continue to excel and contribute significantly to any organization he chooses to be a part of. If you are seeking a data analytics and scientist professional who can create insightful dashboards, engage effectively with clients, and rapidly adapt to new challenges, Gabriel is the ideal choice. They have my highest recommendation without reservation.
Credentials
-
HCIA-AI
HuaweiApr, 2021- Sep, 2024
Experience
-
Genoa Performance
-
Brazil
-
IT Services and IT Consulting
-
1 - 100 Employee
-
Data Scientist
-
May 2023 - Present
I am a Data Scientist specializing in Natural Language Processing (NLP), with a strong focus on data handling, feature engineering, modeling, and the deployment of predictive NLP models. My toolkit includes a range of tools and technologies, such as Python, Pandas, Scikit-Learn, HuggingFace, Pytorch, TensorFlow, SQL, non-relational databases, Docker, Airflow, NLTK, Spacy, Transformers, Language Model Models (LLMs), LangChain, Vector Databases, and Azure. One of my achievements involved creating a binary question-answering model that boasts an impressive 89% accuracy and 85% recall. Furthermore, I have hands-on experience with language models (LLMs), where I have developed an agent capable of generating automated texts and performing data analysis tasks. Show less
-
-
-
-
Data Scientist
-
Nov 2021 - Oct 2023
Data Scientist and researcher in the field of Machine Learning, experience with healthcare data analysis, statistical analysis, development of machine learning models for diagnostic prediction, ETL, data cleaning, python, sql, pandas, scikit-learn, tensorflow, keras, pytorch, matplotlib, plotly, Spark, xgboost, lightgbm, catboost, streamlit, fastAPI, causal inference, association rules (exApriori), Deep Learning. We develop solutions with data to improve public health in Brazil. The work developed has a real impact on public health in the state of RN and Brazil, I work on the fronts to combat Syphilis, Covid and SUS audit. Show less
-
-
-
Murph
-
Brazil
-
Data Infrastructure and Analytics
-
1 - 100 Employee
-
Data Scientist
-
Oct 2022 - May 2023
I worked as a Data Scientist at Murph, where we offered data consulting services to healthcare organizations, such as clinics and hospitals. My role involved creating predictive models to address various challenges in the healthcare sector. I contributed to the development of predictive models for customer churn, helping identify patients who were likely to discontinue their treatment. Additionally, I contributed to the development of no-show models, which predicted whether a patient would miss or cancel their appointments. I also worked on propensity to purchase models, specifically focused on promoting packages of medical exams after a consultation. These models led to a significant increase in sales, boosting revenue by 27%. My ongoing work at Murph involves medical performance analytics, where we leverage data to assess how each doctor contributes to clinic revenue and evaluates their performance in each appointment. This data-driven approach enables us to optimize doctor schedules, ensuring that more productive doctors have appropriate time slots while providing support and resources to those in need of improvement. Throughout these projects, I utilized the latest data science tools and the AWS platform to extract, analyze, and derive insights from healthcare data. Show less
-
-
-
Brain Institute
-
Romania
-
Hospitals and Health Care
-
1 - 100 Employee
-
Data Analyst
-
Sep 2020 - Dec 2022
Electroencephalographic data analysis using the Python language, experience with signal analysis and processing, time series, python language, data visualization tools (matplotlib, seaborn, plotly), statistical analysis, machine learning, pandas. The analyzes were performed with signals captured during sleep and wakefulness. I was able to generate insights from EEG data using statistical methods, data visualization tools and machine learning, and also developed an ocular pattern classifier (blinks and saccades) from electrooculography time series. I was part of the Sleep, Dreams and Memory laboratory coordinated by Professor Sidarta Ribeiro. Show less
-
-
Education
-
2022 -
Universidade Federal do Rio Grande do Norte
Bachelor's degree, Computer Engineering -
2018 - 2022
Universidade Federal do Rio Grande do Norte
Bacharelado em Ciências e Tecnologia, Neuroscience -
2018 - 2020
Universidade Federal do Rio Grande do Norte
Technician, Electrical, Electronic and Communications Engineering Technology/Technician
Community
