Open to opportunities

Edward Mo

@edwardmo

Data scientist in product analytics, experimentation, ML, and LLM/RAG systems. Experience at Meta Reality Labs, Microsoft, and Capgemini.

United States

Message

Data scientist specializing in product analytics, statistical modeling, machine learning, and data engineering, with experience at Meta Reality Labs, Microsoft Xbox Cloud Gaming, Capgemini, Alo Yoga, and Harbor Freight. Work spans experimentation and causal analysis, forecasting, recommendations, clustering, anomaly detection, and model interpretation. Builds SQL and Airflow pipelines, business intelligence dashboards, and LLM/RAG and agentic-AI workflows.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist – Product Analytics

Current

TEKsystems at Meta Reality Labs

Mar 2024 - Present (2 years 8 months)

• Built a self-service analytics agent and automated analytics runbooks with Claude skills and cron jobs
• Built a LangChain RAG pipeline on Llama 4 Maverick with LLM-as-a-judge evaluation
• Root-caused KPI distribution shifts using A/B testing, interrupted time series, and KS tests
• Built SQL KPI tables and Airflow ETL pipelines for stakeholder reporting

Senior Data Scientist

Alo Yoga

Aug 2023 - Mar 2024 (7 months)

• Improved recommendation models (market-basket, content-based similarity) with inventory-aware filtering to reduce out-of-stock impact
• Built a dbt one-big-table financial transactions pipeline on Redshift unifying online and retail data for the executive dashboard
• Analyzed customer behavior, category penetration, basket composition, and sell-through

DBT SQL Redshift Shopify Data Modeling Recommendation Systems Statistical Analysis Python

Senior Data Scientist

Harbor Freight

Dec 2022 - Aug 2023 (8 months)

• Evaluated store relocations with 12-month pre/post within-store comparisons
• Estimated store visibility's sales impact using matching, stratification, and XGBoost with Shapley values
• Ranked stores with Isolation Forest anomaly scores to find unusual category sales
• Segmented stores into tiers with k-means clustering for benchmarking

XGBoost Shapley Value KMeans Clustering Statistical Analysis Python SQL

Senior Data Scientist

TEKsystems at Microsoft Xbox Cloud Gaming

Jul 2022 - Dec 2022 (5 months)

• Forecast Xbox Cloud Gaming monthly active users for financial planning; ARIMAX beat time-series, regularized-regression, and XGBoost models
• Explained an XGBoost user-sentiment model with Shapley, PDP, ICE, and ALE plots
• Delivered a Power BI dashboard linking service-quality telemetry to user sentiment

Power BI Time series Forecasting ARIMAX XGBoost Shapley PDP ICE ALE SQL

Senior Data Scientist

Capgemini

Mar 2020 - Jul 2022 (2 years 4 months)

• Meta: built Airflow/SQL/Python pipelines, A/B tested KPIs, modeled lift and seasonality, published Tableau dashboards
• Honeywell: built SKU-level time-series demand forecasts for supply chain planning
• PPG: automated cloud data pipelines, built Power BI dashboards on Azure Analysis Services, ingested Google Analytics/Ads into BigQuery