Fabio Fujii
Verified Expert in Engineering
Data Scientist and Developer
Fabio is a data scientist with over five years of experience in the finance industry. He's delivered multiple successful ML models, from deploying critical credit risk models for asset-backed loans at one of the biggest banks in Brazil to data-driven solutions against complex and nonlinear fraud incidents. Fabio is independent, learns quickly, and values collaboration and constant feedback. He is eager to widen his business knowledge and motivated to solve your company's challenges.
Portfolio
Experience
Availability
Preferred Environment
Tableau, SAS, Snowflake, Apache Hive, Databricks, Redshift, Amazon S3 (AWS S3), Looker, GitHub, Fraud Prevention
The most amazing...
...project I've built was a loan loss provision model used by all products at the bank—all business squads widely used it to support their forecasts.
Work Experience
Data Scientist
Signifyd
- Developed a tool using graphs to visualize fraud rings better, capture more fraud, and reduce false positives in declines. This tool was used for early fraud alerting.
- Managed merchants in their entire lifecycle, from onboarding the client through fraud discovery, creating rules against the fraud modus operandi, adjusting models to increase approval rate, and creating dashboards to monitor traffic.
- Developed models for region-specific, handling the entire model development cycle: getting the data, cleaning the data, finding the best features, testing against current champions through AB test, and deploying.
Freelance Data Scientist
Kiavi
- Worked as a data scientist for the operation success team; we provided data-driven solutions to improve the efficiency and costs of operations, working very closely with product managers.
- Built a new prediction model to estimate the likelihood of Kiavi closing a given loan within the due date requested by the borrower.
- Developed multiple dashboards to analyze our loan pipeline and identify improvement points within our processes.
- Followed the CRISP-DM as guidance for my projects, which included using the Jira tool to organize, document, and improve the agility of the whole project development.
Data Scientist II
Banco Itaú
- Helped build statistical models that predict a bank's loan loss provision for each retail product. Businesses used these projections for portfolio analysis.
- Developed a model for vehicle seizures. The purpose of the model was to seize cars more intelligently, avoiding overall costs for the bank; this model is currently deployed.
- Constructed credit risk models for car loans offered to natural persons and entities. I've updated the previous model with more and newer data, highly improving its performance.
- Served as a subject matter expert in the car collateral loans squad, helping the product owner devise data-driven solutions to improve and achieve key results.
- Used Confluence to document models and the squad knowledge repository.
- Used often the CRISP-DM methodology to help incorporate Agile practices into my projects.
Data Scientist I
Banco Itaú
- Built a model from the data acquisition to model deployment and forecast loan loss provision. As a result, the business squad used my model's forecast to support theirs. I used SAS, Hive, and Hadoop.
- Developed a machine learning model to optimize discounts on debts for credit card clients. The model aimed to provide better discounts for clients with high risk.
- Worked closely with business managers to support decision-making using data from diverse sources and identify opportunities.
Data Analyst
Banco Itaú
- Attended ITA's data science specialization program, where I took classes from linear algebra, statistics, and programming to more advanced topics such as image and text processing with deep learning.
- Worked on a fraud project in banking transactions. The purpose was to enhance the model built by the senior data scientists to learn more about model development; I successfully improved the model in the validation set.
- Collaborated closely with senior data science and business squads to learn about model development, validation, and monitoring at Itau.
Experience
Loan Loss Provision Forecast
Vehicle Seizure Model
Credit Recovery Model
Loan-signing Date
Pricing for Default Card Holders
Fraud Ring Identification
Skills
Languages
Python 3, SAS, SQL, Python, Snowflake
Libraries/APIs
Pandas, NumPy, Scikit-learn, PyTorch, Dask, Keras, PySpark
Tools
Jupyter, Tableau, Jira, Confluence, Git, Teradata SQL Assistant, Apache Airflow, CircleCI, Looker, GitHub
Paradigms
Data Science, CRISP-DM, Test-driven Development (TDD), Agile, REST
Other
Machine Learning, Deep Learning, Data Visualization, Predictive Modeling, Data Analysis, Data Mining, Data Modeling, Risk Models, Credit Risk, Credit Collection, Predictive Analytics, Predictive Learning, Data Structures, Artificial Intelligence (AI), Statistics, Presentations, Machine Learning Operations (MLOps), Statistical Modeling, Business Logic, Data Analytics, Forecasting, Clustering, Computer Vision, Graphs, Optimization, Statistical Methods, FastAPI, CI/CD Pipelines, Dashboards, Logistic Regression, Fraud Prevention, Fraud Investigation
Frameworks
Hadoop, Apache Spark
Platforms
Databricks, Heroku, MacOS, Windows, Docker, Amazon Web Services (AWS)
Storage
Teradata, Apache Hive, Redshift, Amazon S3 (AWS S3)
Education
Specialization in Data Science
Instituto Tecnologico de Aeronautica - Sao Paulo, SP, Brazil
Bachelor's Degree in Computer Science
Universidade Federal de Mato Grosso do Sul - Campo Grande, MS, Brazil
Certifications
Artificial Intelligence Egineer
Udacity
Inteligencia Artificial
Gama Academy
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