Analyst Resource Hub
A curated, modular knowledge base of checklists, decision cards, guidebooks, and reusable scripts across Python, SQL, and analytics workflows. Originally built in Obsidian and published for quick, skimmable reference.
An operations leader evolving into data analytics and engineering. This portfolio is a hands-on collection of projects and case studies where I’ve learned, practiced, and applied these skills to realistic business challenges, demonstrating how I bridge operations expertise with technical solutions.
Analyst Resource Hub
SQL Stories Ecosystem
Narrative-Driven Sandbox for Analytics
I built this ecosystem to bridge the gap between theory and practice. It’s an end-to-end sandbox for exploring how data is generated, connected, and transformed into action. It serves as both my personal learning lab and a resource for others—a practical roadmap from raw data to compelling stories.
SQL Stories Ecosystem
One ecosystem, three parts: the data generation engine, a public learning lab, and a curated showcase — all built on a shared foundation.
- Ecom Sales Data Generator (Engine): View Repository • Download Database
- SQL Stories: Skills Builder (Learning Lab): View Repository • Sample Scenario Brief
- SQL Stories: Portfolio Demo (Showcase): View Repository • Craft Your Own SQL Story
Featured Projects
Analyst Toolkit
Modular ETL/diagnostics for Jupyter + CLI. Data validation, outlier detection, duplicate handling, and clean exports with robust logging.
- View Repository
- Project Deployment Utility
- Project Starter Kit - Deployable Zip
- Pipeline Workflow Demo (HTML, static)
- Modular Workflow Demo (HTML, static)
*ipywidgets are not active in static HTML notebooks.
Model Evaluation Suite
YAML‑driven evaluation CLI and notebook suite featuring visualizations, SHAP explainers, and exportable reports. Designed for reproducible benchmarking and production‑grade model validation.
- View Repository
- Workflow Demo (HTML, static)
- Sample Charts (HTML, static)
- Sample Reports (HTML, static)
- Sample Charts (HTML, static)
- Sample Reports (HTML, static)
*ipywidgets are not active in static HTML notebooks.
Dirty Birds Data Generator
This project simulates penguin tagging data for ecological analysis, QA, and model prototyping. Inspired by the Palmer Penguins dataset, it adds custom randomness, messiness injection, and resight logic to better reflect longitudinal field studies.
Case Studies
Request from the VP of Sales
End-to-end SQL workflow with time series analysis of synthetic e-commerce data, highlighting revenue leakage, churn patterns, and return-related risks.
SQL Stories: Inventory Audit
Investigates inventory efficiency challenges for a simulated e-commerce retailer, addressing locked capital, problematic returns, and under-utilization.
SQL Stories: Customer Retention
Investigates customer retention dynamics, focusing on early churn, repeat purchase conversion, loyalty program gaps, and marketing channel effectiveness.
Certifications & Credentials
Google Data Analytics Certification
Professional certificate demonstrating proficiency in data cleaning, analysis, visualization, SQL and R programming.
Google Advanced Data Analytics Certification
Advanced training in statistical analysis, regression models, and machine learning with Python.
Skills & Tools
Languages & Databases
Python
SQL
HTML/CSS
JavaScript
Google Apps Script
YAML
SQLite
BigQuery
Analysis & Visualization
Data Storytelling
Data Visualization
ETL & Data Quality
Looker / Tableau
Machine Learning & MLOps
Machine Learning
scikit-learn
Pydantic
MLflow
Jupyter / Colab
Cloud, Tools & Business
Google Cloud Platform
Google Workspace
Git / GitHub
Business & Operations
Process Optimization
Stakeholder Engagement
Thanks for Viewing
Thank you for exploring my work. I’m open to discussing entry‑level roles, apprenticeships, or contract opportunities where I can contribute, learn, and grow.
I’m actively continuing my education in data analytics and engineering, and I’m excited to keep building, collaborating, and improving every day.
Let's Connect
I'm always open to discussing new projects, creative ideas, or opportunities to be part of an amazing team. The best way to reach me is through email or LinkedIn.