About

Isagani Julian Hernandez III | Data Portfolio

I Build Decision-Ready Data Products

I am Isagani Julian Hernandez III, an M.S. Data Science graduate of the University of North Texas (May 2026, 3.9 GPA), now looking for a full-time home in Data Science, Data Engineering, or Marketing Analytics.

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

[ROI]

Revenue Signal

I identify exactly where growth is leaking and which levers drive measurable lift.

[OPS]

Decision Systems

I build pipelines and dashboards that teams can operate consistently, not one-off analyses.

[RISK]

Risk Intelligence

I translate model output into interpretable recommendations for security, retention, and safety decisions.

[MKT]

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.

Experience

AI Fellow

Apr 2026 – Present

Handshake · Remote · Active Fellow

Engineered and deployed a client-facing AI agent system in a 4-week sprint using OpenAI Codex and multi-step agentic workflows, including red-team prompt engineering to stress-test it before ship. Remaining active in the fellowship between engagements, ready to pick up the next client project as one is assigned.

E-Commerce Founder & Analyst Lead

Jun 2024 – Present

Sustainable Fashion Resale · Remote

Built an end-to-end ETL pipeline that cut manual reporting by 40% and forecasting models that improved inventory turnover accuracy by 25%, with Tableau dashboards tracking day-to-day channel performance.

Data Analyst Intern, Marketing Analytics

Aug 2024 – Oct 2024

UbeCharms LLC · Remote

Correlated search-trend data with conversion patterns to surface a 15% untapped market opportunity, then translated it into a growth strategy that raised projected ROI by 12%.

Education

M.S. Data Science

2024 – May 2026

University of North Texas · 3.9 GPA

Graduate Researcher and capstone lead on Guardian Recruit, a hybrid ML fraud detection system with full explainable AI integration. Coursework spanned data engineering, deep learning, and decision science.

B.S. Information Science

2022

University of North Texas · Health Information Management · 3.8 GPA

Graduated Magna Cum Laude with UNT Recognition, Dean's List, and President's List honors.

Associate of Applied Arts

2021

Collin College

Foundational coursework that set up the transfer into UNT's Information Science program.

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

Google Skillshop

Google Analytics 4 (GA4) Certification

Google · January 2026

Validates proficiency in GA4 event tracking, audience segmentation, conversion analysis, and reporting — core to digital marketing analytics workflows.

Valid through January 2027.

View Credential

Associate Certification

Oracle Cloud Infrastructure: AI Foundations Associate

Oracle · October 2025

Validates foundational knowledge of AI and machine learning concepts on Oracle Cloud Infrastructure, including generative AI and ML services.

Professional Certificate

Google Data Analytics Certificate

Coursera · August 2023

Covers data cleaning, analysis, visualization, and storytelling using spreadsheets, SQL, Tableau, and R with a focus on real-world business applications.

AI Tooling Familiarity

AI Fluency: Framework & Foundations · Claude 101

Anthropic

Completion certificates covering responsible AI-system workflows and Claude prompting fundamentals.

Why 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.

Now that I've graduated, I am actively interviewing for full-time roles in Data Science, Data Engineering, and Marketing Analytics where I can build high-leverage analytics products end-to-end. I am based in the DFW Metroplex and open to relocation.

LinkedIn GitHub Email