AVAILABLE FOR OPPORTUNITIES

João
Gameiro

Data Scientist, Machine Learning Engineer and Cybersecurity Analyst working at the intersection of threat intelligence, anomaly detection and security analytics.

João Gameiro
Lausanne, Switzerland
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Built different.
On purpose.

I'm a Portuguese Data Scientist, ML Engineer and Cybersecurity Analyst based in Lausanne, Switzerland. I hold a BSc in Data Science, an MSc in Data Science and Business Analytics from Universidade Nova de Lisboa and a CompTIA Security+ certification.

My work sits at a rare intersection: the analytical rigour of ML engineering applied to threat detection, anomaly identification and security operations. Three years shipping production ML systems across Bobst, Toyota Motor Europe and Leadzai, now combined with deep hands-on security practice.

Proficient across offensive and defensive security, Python, KQL and data pipelines. Building with Microsoft Sentinel, Defender and FortiSIEM. Fluent in the language of both data and adversarial thinking.

28+
COUNTRIES VISITED
3+
YEARS IN TECH
4
LANGUAGES SPOKEN
Portuguese
NATIVE
English
C2
Spanish
C1
French
B1
SEC+
COMPTIA CERTIFIED

Where data science
meets security.

DATA
SCIENCE
CYBER
SECURITY
threat
intel
& ML
ML Anomaly Detection
Unsupervised learning to identify abnormal network behaviour at scale
Threat Intelligence
OSINT and data pipelines to enrich IOCs and map attacker infrastructure
SIEM Analytics
KQL and Python to build detection rules, hunt threats and reduce false positives
Security Data Engineering
Log pipelines, correlation engines and automated alerting infrastructure

Tools & Technologies

SECURITY
Kali Linux Nmap Wireshark Metasploit Burp Suite OSINT Microsoft Defender FortiSIEM Autopsy Steghide ELK Stack Hydra Netcat
DATA & ML
Python KQL SQL TensorFlow PyTorch Pandas Scikit-learn NLP / NER XGBoost Power BI Tableau R NumPy
CLOUD & SIEM
Microsoft Sentinel Azure FortiSIEM Microsoft Defender KQL (Sentinel) Docker Git Linux Raspberry Pi

Professional Journey

JAN 2026 — PRESENT · LAUSANNE, SWITZERLAND
Cybersecurity Analyst
Independent — Security Research & Lab Practice
Full-time focus on cybersecurity: network reconnaissance, vulnerability assessment, offensive/defensive tooling, SIEM deployment with Microsoft Sentinel and FortiSIEM. CompTIA Security+ certified. Building ML-powered threat detection systems combining data science and security engineering.
DEC 2024 — JAN 2026 · LAUSANNE, SWITZERLAND
Data Scientist / Analyst
Bobst
Manufacturing analytics and industrial ML for one of the world's leading packaging machinery companies. Mostly Python, Azure and KQL, building data pipelines for production optimisation, predictive maintenance and operational reporting.
AUG 2023 — AUG 2024 · BRUSSELS, BELGIUM
Data Scientist
Toyota Motor Europe
Production data analysis and ML-driven process optimisation across Toyota's European manufacturing facilities. Worked closely with operational excellence teams on KPI modelling, statistical analysis and cross-functional reporting.
JAN 2022 — JUL 2023 · LISBON, PORTUGAL
Machine Learning Engineer
Leadzai
Built an NLP and text mining system to figure out what made certain ads consistently outperform others across industries. Owned the full pipeline from data collection and feature extraction through to model deployment in production.

Selected Work

002
SECURITY
SSH Brute-Force Detection Lab
Ran simulated SSH brute-force attacks against a controlled environment then built Splunk and ELK dashboards to detect them via threshold alerting and auth.log pattern analysis.
Kali Metasploit Splunk auth.log
↗ github — coming soon
003
SECURITY
Steganography Forensics Lab
Built a full steganography pipeline from scratch, embedding payloads inside images then detecting and extracting them using Binwalk, Steghide and ExifTool. Documented the steganalysis methodology as a reference for future forensics work.
Steghide Binwalk Python Kali
↗ github — coming soon
004
DATA SCIENCE × SECURITY
OSINT Intelligence Pipeline
Automated OSINT tool that chains Shodan, theHarvester and Holehe together to map a target's digital footprint and feed enriched data into a threat intelligence pipeline.
Python Shodan API Holehe Pandas
↗ github — coming soon
005
DATA SCIENCE
Ad Performance NLP System
NLP and text mining pipeline built at Leadzai to figure out what high-performing ads actually had in common across different industries. The idea was to make those patterns replicable rather than leaving them as one-off wins.
Python NLP Text Mining Scikit-learn
↗ github — coming soon

Let's work together.

Open to cybersecurity analyst roles in Switzerland or remote. Particularly interested in SOC analyst, threat intelligence, and security analytics positions.