Pillar 4: Data Analysis
The Data Analysis pillar is anchored in formal mathematical training (Mathematics Education, 140 Credits, GPA 3.71, Advanced Statistics 89.8 / A-), fused with state-of-the-art computational automation.
We reject speculative modeling and intuition-based approximations. Every statistical model, dataset sanitation pipeline, and automated extraction routine is mathematically verified, computationally bounded, and empirically defensible.
Analytical Capabilities & Core Disciplines
- Mathematical Rigor & Inferential Statistics: Deterministic classical assumption tests (normality, multicollinearity, homoscedasticity), Structural Equation Modeling (SEM-PLS), and multivariate regressions free from calculation errors.
- Psychometrics & Instrument Validation (Rasch & Aiken): Verifying survey item validity and latent trait measurement using Aiken’s V content validity coefficients and Rasch Rating Scale Models.
- Resilient CDP & Stealth Scraping Engines: Real-time data extraction over Chrome DevTools Protocol (CDP) WebSocket sessions capable of navigating dynamic JavaScript single-page applications without rate-limit lockouts.
- Arbitrary-Precision Financial Modeling: Eliminating IEEE 754 binary floating-point round-off errors using integer cents and exact decimal arithmetic (
Decimal) for corporate tax schedules and dividend audits. - DocuMorph Deterministic Document Pipelines: Automated extraction of high-density tabular bank statements and balance sheets into clean, structured CSV/Excel relational datasets.
Featured Case Studies & Architectural Blueprints
- Automated Jira Weekly Performance Reporting Pipeline: Serverless data engineering pipeline aggregating Jira Cloud sprint burndown velocity, developer capacity worklogs, and deliverable status into an executive A4 PDF and interactive dashboard.
- Enterprise Power BI & Power Query ETL: Star-schema dimensional modeling, M-code query folding preservation, and automated DAX measures for enterprise dashboards.
- Mathematical Modeling & Statistical Computing: Foundational 140-credit curriculum, classical assumption tests, and reproducible R / Python workflows.
- Psychometric & Survey Validation (Rasch/Aiken): Empirical survey instrument calibration, item polarity analysis, and Wright map separations.
- Resilient CDP WebSocket Scraping Engine: Headless browser orchestration and high-throughput DOM parsing engine.
- Morpheus V2 Financial Simulation (#659758): Dynamic tax calculation architecture eliminating binary float inaccuracies.
- DocuMorph PDF & Table Extraction Pipeline: Deterministic PDF tabular parsing transforming unstructured statements into relational schemas.
- Executive Data Storytelling Engine: Story-first visualization engine turning multi-dimensional analytics into 1-sentence executive decisions.
- Google Sheets CRM & Apps Script Engine: Event-driven lead management automation, webhook ingestion, and transaction email notifications.
Contact Principal Data Analyst
- Email Direct:
devapenseo@gmail.com - Consultation Portal: Reach out through the homepage project initiation form.