F. B. Martins

Data Scientist · Analytics Engineer · ML Engineer

Transforming data into actionable insights through advanced analytics, machine learning, and AI solutions

Overview

The through-line in one phrase

Where you started, where you are now, and the thread connecting them. This is the slide that tells them how to listen to the next eight.

1Four domains
  • Research — what it taught you
  • Applied AI — what it taught you
  • Marketing & banking — what it taught you
  • Healthcare — what it taught you
2Numbers worth stating
  • Headline metric
  • Headline metric
  • Headline metric
Nov 2016 — Nov 2017Research

Scientific Internship

Genetics & Molecular Analysis Lab (LAGM) · UNICAMP

Finding the sugarcane genes that appear exactly once — stable reference points in a genome that repeats itself constantly.

Skills developed
  • Linux
  • Excel
  • Scientific Writing
  • Basic Statistics
  • Data Visualization
  • Presentation
1The work
  • Led a research project identifying and characterizing single-copy genes in sugarcane.
  • Comparative analysis against rice, corn and sorghum as reference genomes.
  • Cross-referenced sugarcane transcriptome data to isolate exclusive, low-polymorphism genes.
  • Functionally annotated the genes to uncover their biological roles.
2How I worked
  • Built and ran the project workflows in a Linux environment.
  • Bioinformatics tools plus Perl scripts for processing.
  • Excel for data analysis and management.
3Outcome
  • Delivered insights that advanced sugarcane genomics.
  • Applications in agricultural research and development.
  • First project where data was the instrument, not the subject.
Mar 2018 — Dec 2020Research

Contaminant Detection in Genotyping Data

Doctorate, phase I · LAGM, UNICAMP

Catching every contaminated sample in genotyping data — then handing breeders a tool that runs the check themselves.

Skills developed
  • Linux
  • R
  • Statistics
  • PCA
  • Machine Learning
  • Simulation
  • Scientific Writing
  • Presentation / Teaching
  • Software Development
1The work
  • Developed an innovative analysis method to detect contaminants in genotyping data from biparental populations.
  • Combined genetic metrics, principal component analysis and clustering into a single detection procedure.
  • Reached 100% contaminant detection.
2How I worked
  • Rigorously validated against simulated populations with known contamination.
  • Executed in a Linux environment using specific bioinformatics tools and R / Python.
3Outcome
  • Shipped as polyCID, a user-friendly R Shiny tool for routine quality control in plant breeding programs.
  • Published in Frontiers in Plant Science, Oct 2021 — 10.3389/fpls.2021.737919
4Figures
Dec 2020 — Dec 2022Research

Genomic Prediction & Gene Networks

Doctorate, phase II · LAGM, UNICAMP

The one sentence you say out loud.

1Context
  • Talking point
  • Talking point
2What I did
  • Talking point
  • Talking point
3Outcome
  • Talking point
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4Figures
2022 — 2023Applied AI

AI Lawyer Assistant & Invoice Extraction

Freelancer · Sasso Tech, Campinas

The one sentence you say out loud.

1Context
  • Talking point
  • Talking point
2What I built
  • Talking point
  • Talking point
3Outcome
  • Talking point
stackstackstack
4Figures
2024 · May — SepBanking

CRM Campaign Data Validation

Data Scientist · Marketdata — VISA / Itaú

The one sentence you say out loud.

1Context
  • Talking point
  • Talking point
2What I did
  • Talking point
  • Talking point
3Outcome
  • Talking point
stackstackstack
4Figures
2024 — 2025Marketing

Marketing Mix Modeling, Six Markets

Data Scientist · Marketdata — Gain Theory / Nomad Foods

The one sentence you say out loud.

1Context
  • Talking point
  • Talking point
2What I did
  • Talking point
  • Talking point
3Outcome
  • Talking point
stackstackstack
4Figures
2025 — 2026Healthcare

Medical Staffing Dimensioning

Data Scientist · Hapvida, São Paulo

The one sentence you say out loud.

1Context
  • Talking point
  • Talking point
2Architecture

Reserved for the system diagram — Oracle → curated Delta tables → forecast → optimizer → BI & app.

3Modeling
  • Talking point
  • Talking point
4Outcome
  • Talking point
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5Figures
2026 · Jul — nowHealthcare

Delinquency Collection Scoring

Data Scientist · Hapvida, São Paulo

The one sentence you say out loud.

1Context
  • Talking point
  • Talking point
2What I'm building
  • Talking point
  • Talking point
3Where it's going
  • Talking point
stackstackstack
4Figures
Self-directed

Portfolio

Eight projects — click any to open it full screen.

2024 / 25

MAIA

one line

2024

MLCenter

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2023

Credit Risk Modeling

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2022

Fraud Detection

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2024

Customer Segmentation

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2024

Energy Forecasting

one line

2023

Pizzeria Dashboard

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2023

Digital Platform Sales

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Continuous learning

Certificates & Courses

Grouped by theme — lead with the two or three that matter for the role in the room.

Domain

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Engineering & MLOps

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Data & Analytics

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AI & LLM

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Cloud

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Ways of working

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1Education & publications
  • Doctorate / Bachelor line
  • Publications and award
What I reach for

Toolkit

Languages

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Data platforms

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Modeling

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AI & LLM

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Orchestration & deploy

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Engineering practice

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