HR201
Coursework for HR201 @ https://university.business-science.io
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Jupyter Notebook
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Fernando Barscevicius
Mentor
Rising Codementor
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ABOUT ME
Full Stack Data Scientist with a passion for mentoring
Full Stack Data Scientist with a passion for mentoring
I'm a hands-on Machine Learning Engineer who builds end-to-end AI solutions while leading technical teams. Over 8+ years, I've learned that the best ML work happens when you combine deep technical expertise with the ability to move fast, make strategic decisions, and ship products that users actually interact with. I specialize in NLP and LLM applications: fine-tuning language models, building RAG systems, developing AI Agents, and deploying models that handle real-world text at scale. Beyond NLP, I work across the full ML spectrum: classification, regression, clustering, recommendation, and forecasting. I've built and deployed solutions across fintech, insurtech, real estate, and retail, working directly with C-level executives to translate business challenges into technical strategies that drive measurable results. I build and mentor high-performing teams while designing MLOps infrastructure to support production-grade AI solutions.
Portuguese, English
Brasilia (-03:00)
Joined May 2020
EXPERTISE
8 years experience
8 years experience
8 years experience
4 years experience
1 year experience
4 years experience
4 years experience
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SOCIAL PRESENCE
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EMPLOYMENTS
Machine Learning Engineer
Tricura Insurance Group
2025-01-01-Present
Established the ML/Data Science function from zero: defined the technical roadmap with C-level executives, designed the MLOps platform...
Established the ML/Data Science function from zero: defined the technical roadmap with C-level executives, designed the MLOps platform, and built cross-functional workflows with engineering and product teams
Fine-tuned BERT models using Hugging Face and PyTorch to extract key information from nursing notes
Created patient risk prediction models (fall risk, hospitalization, mortality) using boosting models, advanced feature engineering, and Bayesian optimization
Designed and implemented batch scoring deployment with Docker and Airflow
Python
Machine learning
Docker
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Python
Machine learning
Docker
NLP
Airflow
AWS
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Machine Learning Consultant
Self-employed
2024-04-01-2025-01-01
Built a text-to-SQL system using LLMs, AWS Bedrock, and LangGraph that let business leaders query data without SQL knowledge
Cre...
Built a text-to-SQL system using LLMs, AWS Bedrock, and LangGraph that let business leaders query data without SQL knowledge
Created the first credit scoring engine for a fintech startup focused on home equity loans
Python
SQL
Machine learning
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Python
SQL
Machine learning
NLP
AWS
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Tech Manager Data Scientist
C6 Bank
2023-01-01-2024-04-01
- Increased conversion rates for key offerings by 15% through product propensity scores
- Cut propensity model development ti...
- Increased conversion rates for key offerings by 15% through product propensity scores
- Cut propensity model development time from 12 weeks to 4 weeks by creating a Python library, templates, and checklists
- Led income estimation model rebuild with a team of 3, combining multiple data sources and modeling approaches into a meta-model that corrected 40% of misclassified high-income customers and reduced operational costs by 20%
- Improved team retention by 25% through regular 1:1s, brainstorming sessions, and code reviews
Python
SQL
Machine learning
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Python
SQL
Machine learning
Computer Vision
NLP
Google Cloud Platform
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