Angelo Richter L. Dela Cruz

Project Management Analyst Manila City, Philippines | [email protected] LinkedIn | GitHub

Education

Bachelor of Science in Computer Science De La Salle University – Manila | Graduated: February 23, 2026

Languages: Python, TypeScript, JavaScript (Node.js), Java 17, SQL (PostgreSQL), LaTeX, Bash

Data Processing & Analytics: pandas, NumPy, scipy, matplotlib, seaborn, plotly, openpyxl, Streamlit, Jupyter Notebook

Machine Learning & AI: scikit-learn, PyTorch, RapidFuzz, Ollama (Phi-3.5), Google Gemini API, DeepSeek, Pinecone Vector DB, RAG Architecture

Cloud & Infrastructure: AWS (EC2, S3, IAM, VPC), Docker, Railway, Linux Administration, SSH

DevOps & Observability: GitHub Actions (CI/CD), Git, Prometheus, Sentry, pre-commit, ruff, black

Databases: PostgreSQL, MongoDB, MySQL, SQLite3, HDF5

Backend & Frameworks: Express.js, FastAPI, SQLAlchemy, Sequelize ORM, Pydantic, Mongoose, Helmet.js, Winston

Frontend & Templating: Handlebars (express-hbs), EJS, Bootstrap 5, Java Swing

Testing & Automation: Playwright, Selenium, undetected-chromedriver, Jest, Supertest, Mocha, Sinon, pytest, pytest-cov, BeautifulSoup4

Security: bcrypt, express-rate-limit, RBAC Middleware, OWASP Top 10 Mitigation, Defense-in-Depth

ETL & Productivity: gspread (Google Sheets API), Google Apps Script, Alembic, ThreadPoolExecutor, openpyxl

Palmpay** | June 2026 - Present

Built and maintain Quick BI dashboards on Alibaba Cloud DataWorks, used daily by the Head of Sales to evaluate regional and agent-level performance across the Philippines.
Partner with anti-fraud and collections teams to investigate transaction anomalies, agent irregularities, and payment delinquency patterns — directly informing risk mitigation and debt recovery strategy.

UNO Digital Bank | February 2026 - April 2026

Hybrid AI & Automation Strategy

Optimized Hybrid Address Matching: Designed and executed a systematic analysis of a hybrid Fuzzy Logic + LLM (Phi-3.5) system, evaluating 35 threshold combinations to balance automation efficiency against risk.
Engineered Safety Nets: Identified the "Contamination Zone" in algorithmic matching where high-confidence scores yielded false positives, implementing an LLM-based safety net to reduce fraud exposure.
Performance Scaling: Developed a data preprocessing and normalization pipeline for Philippine-specific addresses, achieving a 4x processing speedup through intelligent sampling and parallel execution.

Operational Analytics & Execution

Loan Performance Architecture: Architected a high-scale analysis platform for 587k+ applications, mapping 25M+ event records to isolate performance friction across 141 distinct processing queues.
Automated Data Infrastructure: Developed a robust SQL-to-Python pipeline that replaced manual reporting, enabling real-time, high-fidelity tracking of 15k+ active applications with increased data granularity.
Advanced Statistical Modeling: Integrated linear regression and IQR-based outlier detection to forecast performance trends and ensure the statistical integrity of all operational KPIs.

Quality Assessment & Risk Control

Vendor Performance Audit: Conducted a comprehensive audit of Third-Party Document Validation, uncovering a 28.93% False Positive rate and identifying a "readability paradox" that led to unnecessary customer friction.
Data-Driven Recalibration: Translated complex confusion matrix results into actionable business insights, directly informing vendor evaluation criteria and immediate fraud risk mitigation strategies.
Stakeholder Communication: Authored professional LaTeX business reports and interactive Jupyter dashboards to communicate multi-dimensional trade-offs to C-level stakeholders.