🎓 MS in Data Science @ Stony Brook University
📊 Data Analyst & Applied Statistician | Pragmatic Problem Solver
💡 Bridging statistical rigor, business intelligence, and AI-assisted workflows across Banking & FinTech, Global Logistics & Postal Networks, and enterprise IT infrastructure.

Whether troubleshooting a blown capacitor on a motherboard, isolating data leakage in an ML pipeline, or diagnosing an SLA drop in postal delivery routes, I apply first-principles thinking and rigorous root-cause analysis (RCA):

• Dissect Complexity: Break nebulous business friction into testable hypotheses, robust data contracts, and quantifiable metrics.
• Iterative Troubleshooting: Trace failure points methodically—from hardware signals and software logs to outlier distributions.
• Actionable Remediation: Deliver robust, repeatable solutions rather than cosmetic quick fixes.

• End-to-End Data Cleaning & Wrangling: Transforming messy, heterogeneous transactional records into analysis-ready formats. Proficient in handling missing value imputations, regex parsing, datetime/timezone normalization, deduplication, and anomaly filtering using R (Tidyverse), Python (Pandas), and Excel (Power Query).
• In-Memory Caching & Storage (Redis + PostgreSQL): Leveraging Redis for in-memory key-value caching of high-frequency analytical queries, real-time rate limiting, and session tracking, paired with PostgreSQL for relational schema design and complex joins.
• Banking & FinTech Analytics: Quantitative data modeling, transaction anomaly detection, customer segmentation, A/B testing design, and risk indicator tracking.
• Global Logistics & Postal Systems (USPS / UPS / Air Cargo): Route and sorting operational efficiency, transit time reliability metrics, SLA tracking, and tracking telemetry.
• AI-Augmented Productivity: Leveraging Gemini across Google Workspace (Gmail / Sheets) to rapidly prototype formulas, streamline cross-functional updates, clean unstructured text, and accelerate reporting cycles.

• 🔧 Hardware Diagnosis & Repair: Hands-on experience troubleshooting micro-electronics, repairing smartphones/laptops, and assembling custom server racks.
• 🛫 Commercial Aviation Enthusiast: Keen interest in airline fleet management, network scheduling, and modern composite aircraft (Boeing 787 & Airbus A350).
• 🌐 Multilingual & Polyglot:
  • Mandarin: Native proficiency in both Traditional (繁體：港台) & Simplified (简体：中新马) Chinese
  • English: Fluent / Professional Working Proficiency
  • Cantonese (Hong Kong): Fluent / Professional Working Proficiency
  • Japanese: Learning / working towards JLPT

• 🌐 Blog: DanielData.com
• 💬 Have an interesting data challenge, opportunity, or aviation topic? Feel free to open an issue or reach out via email!