Data Analyst · BI Analyst · Data Operations

Turning messy data
into clear decisions
at scale.

Data professional at Meta supporting AI/AR/VR pipelines. I build validation systems, KPI dashboards, and operational workflows that teams trust — with measurable impact on data quality and throughput.

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Open to Work

Data acceptance rate maintained at Meta

Increase in usable data volume

Data accuracy across ML validation workflows

Records cleaned & validated at GamePlayUS

About Me

Built at the intersection
of data & business.

I'm Tai Nguyen, a data professional based in Seattle with a B.A. in Business Analytics from Seattle University. I currently support data engineering and operations at Meta (via contract), where I work on AI/AR/VR product pipelines used in machine learning model development.

"What decision does this data need to support?"

My work lives at the intersection of data quality, operational efficiency, and business insight. Whether it's designing a validation framework, building a KPI dashboard, or cleaning 100,000+ records — I approach every data problem with clarity and purpose.

I bridge the gap between technical data teams and business stakeholders, translating messy operational questions into structured queries, clear metrics, and decisions people can act on.

AnalyticalDetail-Oriented Process-DrivenBusiness-Minded Fast LearnerCross-Functional ReliableCurious

How I Create Impact

Six ways I move
the needle.

📊

KPI Design & Reporting

I translate business questions into measurable KPIs, build dashboards that surface the right signal, and make sure stakeholders always have the context they need to act.

✅

Data Quality & Validation

I design and enforce validation frameworks that catch errors early, maintain 95–97% acceptance rates, and give downstream teams data they can trust without second-guessing.

⚙️

Workflow Optimization

I identify friction in operational processes, build standardized workflows, and document SOPs that make teams faster and reduce costly rework and errors.

🔍

Root Cause Analysis

When data breaks, I don't just patch it — I find the source. I use reproducible logs and structured analysis to identify system failures and prevent recurrence.

🤝

Cross-Functional Translation

I bridge the gap between technical teams and business stakeholders — turning vague operational questions into structured queries, clear metrics, and actionable reports.

📈

Scalable Data Systems

I build workflows designed for repeatability and resilience — from data pipelines to reporting templates, everything I build is meant to scale beyond the first use.

Experience

Career Timeline

Data Engineering — Data Operations & Analytics Oct 2024 – Present

META · Kirkland, WA

Supported AI-driven AR/VR data pipelines for next-gen product prototypes used in ML model development
Tracked and analyzed operational KPIs using SQL, Excel, and Power BI to monitor throughput and data quality
Increased usable data volume by 20% while maintaining a 97% data acceptance rate through standardized validation
Achieved 95%+ data accuracy to support research integrity and prototype validation workflows
Improved booking accuracy and reduced no-shows through data-driven workflow optimization
Developed SOPs, participant guides, and testing prompts to ensure consistent, repeatable operations
Collaborated cross-functionally to translate operational questions into measurable metrics and insights

SQLPower BIExcel KPI ReportingData ValidationML Pipelines

Database Developer Intern Jun 2023 – Dec 2023

GAMEPLAYUS · San Francisco, CA (Remote)

Cleaned, validated, and maintained 100,000+ records across large-scale Excel and SQL-based datasets
Increased user engagement by 30% and return visits by 25% through data-driven product updates
Built structured reporting to track data completeness, error rates, and update progress
Collaborated with project managers to prioritize data fixes aligned with business requirements

SQLExcel Data CleaningReporting

Accountant Assistant Jan 2023 – Jun 2023

JABOODA CONSTRUCTION · Seattle, WA

Managed utility operations for 30+ properties — tracking usage, costs, and vendor billing data
Contributed to $60,000+ in utility cost savings through billing corrections and negotiated rate adjustments
Analyzed consumption data to identify discrepancies and support cost-control decisions

ExcelData Analysis OperationsCost Reporting

Skills

Technical Proficiency

Core Technical Skills

SQL95%

Microsoft Excel92%

Power BI85%

Python (pandas)78%

Tableau72%

R (Statistical Analysis)68%

Analytics & Domain Skills

KPI Development Data Validation ETL Workflows Data Cleaning DAX Power Query Root Cause Analysis SOP Documentation Dashboard Design Trend Analysis Operational Reporting Data Quality Process Improvement Cross-functional Comms Regression Modeling MS Access VBA

Projects

Featured Work

🏠

GitHub →

Seattle Housing Price Forecast

Processed 15,000+ King County housing records to build predictive pricing models using regression and kNN algorithms. Improved forecast accuracy by 15% through feature engineering and data cleaning pipelines.

15K+

Records processed

+15%

Forecast accuracy

RRegression kNNData Cleaning

👥

GitHub →

Workforce Operations Analytics

End-to-end SQL analytics project answering 10 real business questions on employee attendance, shift coverage, task productivity, and performance flagging. Built with CTEs, window functions, and multi-table joins.

Business questions

Relational tables

SQLPostgreSQL CTEsWindow Functions

🌍

GitHub →

Global Drug Seizure Analysis

Analyzed 1M+ records of global drug confiscation data spanning 1980–2020. Built geospatial insights using R, SQL, and Tableau to reveal hotspots, trends, and resource allocation patterns.

1M+

Records analyzed

+20%

Resource efficiency

RSQL TableauGeospatial

🚗

GitHub →

AutoValuate — Car Price Classifier

Machine learning classification tool that predicts used car prices as high or low to support smarter resale decisions. Built using data mining techniques on real automotive market data.

Classification model

2-class

Price prediction

RData Mining ClassificationEDA

Education

Academic Foundation

🎓

SEATTLE UNIVERSITY · CLASS OF 2024

B.A. in Business Analytics

Coursework spanning data analysis, statistical modeling, database systems, business intelligence, and operations management — with hands-on projects in R, SQL, Tableau, and Excel.

Database Systems Statistical Modeling Business Intelligence Data Visualization Operations Management Predictive Analytics

Contact

Let's build something
data-driven together.

I'm actively exploring Data Analyst, Data Engineer, and BI Analyst roles in Seattle and remotely. If you're hiring or want to connect, I'd love to hear from you.

✉️

tai.ng2022@gmail.com

💼

linkedin.com/in/tain42

⌥

GITHUB

github.com/TaiNguyen42

📱

PHONE

(916) 695-5731