No. 001 · Cybersecurity & Data Analytics

Data.
Security.
Results.

Dual B.S. in Cybersecurity and Data Analytics from Miami Dade College. Threat detection pipelines, adversary behavior analysis, and data-driven decisions — where both disciplines meet.

Miami Beach, FL English · Spanish Open to Relocation OSCP Track

7^GB+

LANL dataset
processed in Databricks

767

MITRE ATT&CK
association rules generated

Degrees from
Miami Dade College

Countries across
FIFA recruiting operations

Experience

FIFA World Cup 2026

Current

Recruitment Analyst

Supported cross-functional hiring operations across the USA, Canada, and Mexico for the largest FIFA World Cup in history. Managed candidate pipelines in Pinpoint ATS, coordinated cross-timezone scheduling and onboarding logistics, and contributed to a record-breaking milestone of 1,000+ candidates hired within a single month.

Jan 2026
Present

Florida Grand Opera

Internship

Data Analyst Intern

Applied Tessitura CRM and iWave wealth screening to identify high-net-worth donors underperforming relative to their estimated giving capacity. Analyzed iWave capacity scores against actual donation history to derive a capacity utilization rate per patron; built targeted prospect lists for major gift campaigns. Built KPI dashboards in Tableau tracking donor retention, campaign performance, and ticket sales; delivered weekly data summaries to senior leadership.

Sept – Dec
2024

VitalBizz LLC

Founder
HACCP Coordinator

Founder & HACCP Coordinator

Founded VitalBizz LLC and launched Vital Shots, a refrigerated 2 oz pasteurized wellness shot brand. Certified HACCP Coordinator overseeing validation protocols under 21 CFR Part 120, FDA-compliant labeling, production SOPs, and a B2B wholesale pipeline via HubSpot targeting South Florida and the Dominican Republic.

2024
Present

Projects

Cybersecurity · SIEM Design

Quaesio Quantum Sentinel

Data mining final project applying Apriori/Market Basket Analysis, RFM segmentation, and Monte Carlo simulation to MITRE ATT&CK threat actor data. Adopted a marketing analytics framework — threat actors as customer segments, techniques as product associations, co-occurrence rules as behavioral predictions — to produce a threat intelligence prototype from the pipeline outputs. The 767 association rules generated here were subsequently used as analytical input to the LANL Databricks exploratory pipeline.

Apriori / MBA RFM Segmentation Monte Carlo MITRE ATT&CK CAP4767

→ View PDF Report

Big Data · Anomaly Detection

LANL Auth Anomaly Detection

Bronze-stage exploratory pipeline on the LANL Comprehensive Cyber-Security Events dataset (~1.6B auth events) in Databricks/PySpark. Applied Apriori association rule filters from the CAP4767 data mining pipeline to guide anomaly detection on authentication events. Full ML pipeline intentionally withheld — currently in active development in Databricks. Resolved 7 GB+ CLI upload constraints via local file splitting and cluster reassembly.

Databricks PySpark LANL Dataset Medallion Architecture CAP4784

→ View Notebook ▶ Databricks Ingestion Demo

Data Analytics · Threat Intelligence

MITRE ATT&CK Market Basket Analysis

Visualization layer of the CAP4767 data mining pipeline. Applied Apriori/MBA to 162 threat actors and 458 MITRE ATT&CK techniques — 767 curated association rules surfacing adversary co-occurrence patterns and behavioral clusters including Kimsuky and Lazarus Group, built in Tableau for decision-maker consumption.

Tableau Apriori Market Basket Analysis Threat Intelligence

→ View Dashboard → View Analysis

Data Visualization · Coursework

Tableau Dashboard Collection

Visualization projects covering data storytelling, interactive dashboard design, and chart composition — built in Tableau Public across applied coursework.

Tableau Data Visualization Dashboard Design

→ View All Dashboards

Tableau Portfolio

Cybersecurity · Threat Intelligence

MITRE ATT&CK Market Basket Analysis

Visualization layer of the Quaesio data mining pipeline — 767 Apriori association rules across 162 threat actors and 458 MITRE ATT&CK techniques, built in Tableau to surface adversary co-occurrence patterns for decision-makers.

→ View Dashboard

Business Analytics · Coursework

Profitable States — East Region

Bump chart tracking year-over-year profitability rank changes across East Region states. Surfaces which states are climbing, plateauing, or declining — a clear picture of regional performance shifts over time.

→ View Dashboard

Business Analytics · Coursework

Company Branch Performance

Multi-branch performance dashboard comparing sales, profit margins, and KPIs across business units. Designed to support executive decision-making with clear visual hierarchy across top and underperforming branches.

→ View Dashboard

Business Analytics · Coursework

Profit Overview

Comprehensive profit breakdown across product categories, regions, and time periods — combining bar charts, trend lines, and KPI cards into a unified view of where the business makes money and where it doesn't.

→ View Dashboard

Business Analytics · Coursework

2013–2016 Profit Overview

Multi-year profit trend analysis spanning 2013 to 2016. Tracks growth trajectories, seasonal patterns, and year-over-year variance — built to distinguish structural gains from short-term spikes.

→ View Dashboard

Data Visualization · Coursework

Post-WWII Population Trends

Historical demographic analysis of population growth following World War II. Visualizes the baby boom effect, regional migration shifts, and long-term urbanization trends — turning raw census data into a readable postwar narrative.

→ View Dashboard

His combined expertise in cybersecurity and data analytics is rare and highly valuable, allowing him to perform accurate risk analyses and deliver data-driven security insights essential in today's cybersecurity landscape.

Dr. Johnny Guimaraes, MBA, CFE, CISA, CISM, CDPSE · Assistant Professor, Miami Dade College · May 2025

Letter of Recommendation

→ Read Full Letter ↓ Download PDF

Skills &
Tools

Big Data & Analytics

Databricks · PySpark · Spark SQL · Tableau · Python · pandas · Apriori · Medallion Architecture

Cybersecurity

Wireshark · Nmap · Metasploit · MITRE ATT&CK · SIEM Design · Network Forensics · OPNsense · WireGuard · TryHackMe

Platforms

GitHub · HubSpot CRM · Tessitura Analytics · Google Workspace · Power BI · Databricks Community & Pro

Recruitment & Operations

Pinpoint ATS · Candidate Pipeline Management · Cross-Timezone Scheduling · Onboarding Logistics · High-Volume Recruiting · Multi-Country Coordination · Stakeholder Communications · SOP Development · HACCP Validation · FDA 21 CFR Part 120 · B2B Pipeline Management

Education

B.S. Data Analytics

Miami Dade College · Graduated April 2026

Applied analytics, data mining, Databricks/PySpark, and visualization. Capstone: LANL authentication anomaly detection pipeline.

B.S. Cybersecurity

Miami Dade College · Graduated April 2025

Network security, risk assessment, and secure topology design. Recognized by faculty for Power BI threat visualization work.

A.S. Business Intelligence

Miami Dade College · Graduated April 2024

Business data systems, BI tools, and analytical reporting foundations.

Certifications

ISC2 Certified in Cybersecurity (CC)

Fortinet FCA

Certified HACCP & GMPs — eHACCP.org

Root Cause Analysis (RCA) — eHACCP.org

OSCP — In Progress

Google Cloud — Professional Cloud Security

AWS Security Specialty

Let's work
together.

Open to data analytics, cybersecurity, and operations roles. Based in Miami Beach — available for remote or relocation.

[email protected]

LinkedIn ↗ TryHackMe ↗ Tableau Public ↗ Download Resume ↓ Letter of Rec ↗

What was done

Part of the CAP4767 data mining capstone pipeline. Each of the 162 MITRE ATT&CK threat actors was treated as a transaction and each of the 458 techniques as an item. The Apriori algorithm mined frequent itemsets across the actor-technique matrix, generating association rules ranked by support, confidence, lift, leverage, and conviction — producing 767 curated rules later used as input to the LANL Databricks pipeline.

Why it matters

Rules were augmented with an AI-usage signal to surface techniques likely enabled by LLMs — phishing automation, deepfake social engineering, and AI-assisted reconnaissance. Patterns were then mapped to Zero-Trust Guard controls, giving defenders a prioritized playbook based on actual adversary co-occurrence behavior.

162 threat actors 458 ATT&CK techniques 767 association rules mlxtend · pandas · networkx · plotly MITRE ATT&CK v18.1

Core pipeline — key excerpts

# 1. Build actor-technique transaction matrix
actor_techniques = (
    relationships_df[relationships_df['target type'] == 'technique']
    .groupby('source name')['target name']
    .apply(list).reset_index()
)

# 2. Encode for Apriori
te = TransactionEncoder()
te_array = te.fit(actor_techniques['target name']).transform(actor_techniques['target name'])
df_encoded = pd.DataFrame(te_array, columns=te.columns_)

# 3. Mine frequent itemsets
frequent_itemsets = apriori(
    df_encoded,
    min_support=0.05,
    use_colnames=True,
    max_len=4
)

# 4. Generate association rules
rules = association_rules(
    frequent_itemsets,
    metric='confidence',
    min_threshold=0.6
)

# 5. Augment with AI-usage signal
rules['ai_enabled'] = rules['consequents'].apply(
    lambda x: any(t in ai_techniques for t in x)
)

# 6. Curate — filter to 767 high-signal rules
curated = rules[
    (rules['lift'] > 1.2) &
    (rules['confidence'] > 0.65) &
    (rules['conviction'] > 1.1)
].sort_values('lift', ascending=False)

Data.Security.Results.

Skills &Tools

Education

Let's worktogether.

Data.
Security.
Results.

Skills &
Tools

Let's work
together.