I'm Fabio Lenine, a Data Scientist and ML Engineer with 5+ years crafting scalable personalization and recommendation systems that reach millions of users. I specialize in feature engineering, real-time model deployment, and building production ML pipelines with Python, PyTorch, and TensorFlow, collaborating across cross-functional teams and mentoring junior engineers to deliver impactful solutions. Beyond core ML, I bring extensive data engineering and infrastructure optimization experience, leading strategic initiatives to modernize architecture with Data Mesh and Lakehouse patterns, driving governance, scalability, and cost savings. I’m passionate about innovation and turning data-driven insights into real business impact.

Fabio Lenine

I'm Fabio Lenine, a Data Scientist and ML Engineer with 5+ years crafting scalable personalization and recommendation systems that reach millions of users. I specialize in feature engineering, real-time model deployment, and building production ML pipelines with Python, PyTorch, and TensorFlow, collaborating across cross-functional teams and mentoring junior engineers to deliver impactful solutions. Beyond core ML, I bring extensive data engineering and infrastructure optimization experience, leading strategic initiatives to modernize architecture with Data Mesh and Lakehouse patterns, driving governance, scalability, and cost savings. I’m passionate about innovation and turning data-driven insights into real business impact.

Available to hire

I’m Fabio Lenine, a Data Scientist and ML Engineer with 5+ years crafting scalable personalization and recommendation systems that reach millions of users. I specialize in feature engineering, real-time model deployment, and building production ML pipelines with Python, PyTorch, and TensorFlow, collaborating across cross-functional teams and mentoring junior engineers to deliver impactful solutions. Beyond core ML, I bring extensive data engineering and infrastructure optimization experience, leading strategic initiatives to modernize architecture with Data Mesh and Lakehouse patterns, driving governance, scalability, and cost savings. I’m passionate about innovation and turning data-driven insights into real business impact.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Portuguese
Fluent
English
Advanced
Spanish; Castilian
Intermediate

Work Experience

Data Lead at Mastercard
September 1, 2025 - December 1, 2025
Data Lead for Mastercard’s CRM Performance Desk, coordinating a multidisciplinary team (Analytics, Data Science, Data Engineering) to define executive KPIs, analytics governance, and large-scale CRM insights. Designed the CRM analytics architecture, data models, business rules, semantic layers, and governance standards to provide a standardized executive view of commercial performance, customer activation, and engagement. Served as a bridge between CRM, Commercial, Product, Marketing, and Technology stakeholders to ensure alignment and delivery. Short, outcomes-focused engagement with clearly defined scope and deliverables.
Data Engineering Lead at ClickBus
December 1, 2020 - March 1, 2025
Leading ClickBus's Data Engineering team, responsible for the company’s data architecture, scalability, and governance. Responsibilities include structuring the Data Product with analytical datasets, reducing operating costs through infrastructure modernization, and enabling Data Mesh and Lakehouse architectural patterns. Led design and implementation of ML-focused personalization and dynamic pricing pipelines, integrated ML models into production data pipelines using Airflow, Kafka, and PostgreSQL, and improved overall data governance and autonomy across business units. Mentored engineers on ML best practices and scalable architecture.
Data Scientist and Engineer at Audora
January 1, 2018 - November 1, 2020
Developed a phonetic search engine for Brazilian Portuguese, improving legal document retrieval by handling linguistic variations. Designed and fine-tuned NLP models for writing style adaptation and created an intelligent case law suggestion system to accelerate legal research. Planned and deployed a Data Warehouse using Apache NiFi, Apache Kylin, AWS EMR, PySpark, and Hadoop for payroll ELT/ETL processes.
Entrepreneur at Lenines, Fortaleza
April 1, 2015 - December 1, 2017
Launched and led VONKI, an NLP-focused AI project enabling multilingual interactions for international users. From concept to deployment, I oversaw model training, evaluation, and ongoing optimization of linguistic and contextual performance.
Data Migration Specialist at Soft Plans, Florianópolis
April 1, 2011 - April 1, 2015
Developed migration specifications for HR management systems, migrating projects for Ceará State Court and Feira de Santana State University, CRJ, and SCP to Pará’s DER. Led data migration activities and ensured alignment with target data models and governance rules.

Education

Bachelor’s Degree in Data Science and Artificial Intelligence at Centro Universitário UNIDOM - Bosco, Fortaleza
January 1, 2020 - January 1, 2026

Qualifications

Attention in Transformers: Concepts and Code in PyTorch
January 11, 2030 - January 30, 2026
Data Science para Executivos
January 11, 2030 - January 30, 2026
Nanodegree Engineer
January 11, 2030 - January 30, 2026
AI For Everyone
January 11, 2030 - January 30, 2026

Industry Experience

Software & Internet, Financial Services, Professional Services, Education

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more

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