Revenue Signal
I identify exactly where growth is leaking and which levers drive measurable lift.
I Build Decision-Ready Data Products
I am Isagani Julian Hernandez III, an M.S. Data Science candidate at the University of North Texas, graduating May 2026.
I position myself as a business-minded data builder: someone who turns messy data into pipelines, models, dashboards, and recommendations that teams can actually use. My edge is combining analytical rigor with systems thinking so the work does not stop at insight — it becomes a decision-ready product.
What I Solve
Decision Systems
I build pipelines and dashboards that teams can operate consistently, not one-off analyses.
Risk Intelligence
I translate model output into interpretable recommendations for security, retention, and safety decisions.
Marketing Analytics
I apply LTV modeling, funnel diagnostics, and campaign ROI analysis to turn acquisition data into growth strategy.
Operating Style
I architect systems, not one-off notebooks. I design SQL/Python pipelines, feature frameworks, and dashboards that teams can reuse.
I build transparent models. I combine strong baseline performance with explainability tools such as SHAP and interpretable feature narratives.
I translate complexity into action. I package technical output into strategy: budget shifts, risk alerts, retention playbooks, and implementation steps.
I present with clarity. I translate technical findings into stakeholder-ready recommendations — from executive summaries to client-facing presentations where the data has to speak without the jargon.
Technical Arsenal
Languages & Engineering
Python
SQL
BigQuery
ETL
Pipeline Automation
Pandas
NumPy
Machine Learning & Explainability
XGBoost
Random Forest
Isolation Forest
HDBSCAN
SHAP
XAI
NLP & Generative AI
BERT
LDA
Sentiment Analysis
NLTK
Gensim
Prompt Engineering
LLM API Integration
Visualization & Business Analytics
Tableau
Streamlit
Looker Studio
Google Analytics (GA4)
EDA
Data Visualization
Business Intelligence
Marketing & Growth Analytics
LTV Analysis
Retention Funnel Mapping
ROI Optimization
Marketing Analytics
Campaign Attribution
Risk & Fraud Intelligence
Fraud Detection
Anomaly Detection
Cyber-Risk Mitigation
Threat Modeling
Certifications
Professional Certificate
Google Data Analytics Professional Certificate
Google / Coursera
Covers data cleaning, analysis, visualization, and storytelling using spreadsheets, SQL, Tableau, and R with a focus on real-world business applications.
Google Skillshop
Google Analytics 4 (GA4) Certification
Google Skillshop
Validates proficiency in GA4 event tracking, audience segmentation, conversion analysis, and reporting — core to digital marketing analytics workflows.
Valid through January 2027.
View CredentialWhy This Work Matters To Me
Before graduate school, I built and operated a resale business and learned how fragile growth can be when decisions are made without clean signal. That experience shaped how I work now:
- Curiosity before assumptions.
- Engineering before presentation.
- Business impact before vanity metrics.
I am currently open to roles in Data Science, Data Engineering, and Marketing Analytics where I can build high-leverage analytics products end-to-end. I am actively growing my expertise in digital marketing measurement — applying the same rigorous modeling mindset to acquisition funnels, campaign attribution, and customer lifetime value.