I am a data scientist with extensive experience in fraud prevention, data analysis, and artificial intelligence model development.I hold a degree in Computer Science and certifications in data science and AI. I am fluent in Portuguese and possess advanced English skills. As a competent programmer, I have a strong interest in exploring and applying innovative technologies.Throughout my career as a data scientist, I have worked in various areas including Data Analysis, ETL, MLOps, Machine Learning, Deep Learning, Natural Language Processing (NLP), and Anomaly Detection. I utilize a variety of technologies and tools such as Python, SQL, Google BigQuery, NumPy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-Learn, CatBoost, XGBoost, TensorFlow, PyTorch, Hugging Face Transformers, Kubeflow, Git, and GitHub.I have strong communication and collaborative skills, which enable me to effectively contribute to cross-functional teams and mentor junior colleagues. I am strategic and critical, always seeking solutions that balance immediate results with long-term goals.In my free time, I enjoy playing games with my friends, exploring various online games. This activity also helps me maintain a healthy balance between work and leisure.
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Senior Data ScientistTrustlyState Of Goiás, Brazil
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Mid-Level Data ScientistPicpay Dec 2024 - PresentSão Paulo, Brazil -
Data Scientist | Mid LevelStone Jun 2022 - Nov 2024São Paulo, Brasil- Worked with companies within the Stone Co. group (Stone and Pagar.me) on fraud prevention and receivables anticipation.- Conducted data collection, cleaning, and preparation from various sources, including logs, APIs, bureaus, and internal databases.- Developed identity fraud prevention models, analyzing customer registration data and request logs to identify fraud patterns.- Investigated attack patterns in registrations, building features to highlight fraudulent behaviors.- Created several models, achieving 95% precision and 60% recall in identity fraud detection while maintaining the false positive rate below 5%.- Built pipelines for model training and deployment, integrating with Kubeflow and Vertex Pipelines.- Automated customer monitoring and alerting via Apache Airflow DAGs.- Conducted time series forecasting and anomaly detection to build an MVP for fraud detection.- Reviewed and improved legacy fraud prevention and anticipation models with newer technologies and methodologies. - Technologies: Python, SQL, Pandas, NumPy, Scikit-Learn, Google BigQuery, Storage, Vertex Pipelines, Kubeflow, CatBoost, XGBoost, TensorFlow, Jellyfish, Plotly, PyWavelets, Apache Airflow, GitHub -
Data ScientistTribunal De Contas Do Estado De Goiás May 2021 - Apr 2022Goiânia, Goiás, Brasil- Developed a package and pipeline to update the NLP model.- Analyzed and cleaned public expenditure data and electronic invoices.- Integrated BERT's NLP capabilities with Random Forest, improving classification performance by 5% (Micro F1) and 12% (Macro F1).- The developed model was used to classify public expenditures, identifying over R$ 17 million in misclassified expenses.- Initiated a project to detect overpricing in public procurement. - Technologies: Python, Dremio, SQL, Pandas, Power BI, NumPy, Scikit-Learn, NLTK, Transformers, TensorFlow, PyTorch, Django, GitHub Actions, PyPi
Jeferson Marques Education Details
Frequently Asked Questions about Jeferson Marques
What company does Jeferson Marques work for?
Jeferson Marques works for Trustly
What is Jeferson Marques's role at the current company?
Jeferson Marques's current role is Senior Data Scientist.
What schools did Jeferson Marques attend?
Jeferson Marques attended Instituto Federal De Goiás (Ifg).
Who are Jeferson Marques's colleagues?
Jeferson Marques's colleagues are Camila Talhami, Alessandro Biolchi, Rituparn Dixit, Carlos Dutra, William Fredriksson, Fredrik Benzeriane, Kelly Leblanc.
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Jeferson M.
Rio De Janeiro, Rj -
Jeferson Marques
São Paulo, Sp -
Jeferson Marques
Fraud And Risk Analyst | Customer Service Specialist | Kyc | Aml | Compliance | Data Analysis | FintechRecife, Pe -
Jéferson M.
Santa Maria, Rs
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