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Yachi User

@yachiuser

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Data Scientist at Labelmaster who improved demand-forecast WAPE from 46% to 31.5% across 37 backtests.

United States

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At Labelmaster, I applied bias correction to demand forecasts, reducing WAPE from 46% to 31.5% across 37 rolling-origin backtests to inform procurement planning. I also screened freight and economic indicators and automated forecast notifications and pipeline monitoring.

At August Infotech, I developed churn models with XGBoost and LightGBM and evaluated retention interventions through an A/B test. My projects include a demand-forecasting and reorder-planning platform, and a UK property-price analysis with 12-month SARIMAX forecasts.

Experience

Work history, roles, and key accomplishments

Data Scientist Co-op

Labelmaster

Jan 2026 - May 2026 (4 months)

Applied bias correction to demand forecasts, reducing WAPE from 46% to 31.5% across 37 backtests. Screened 174 external indicators and benchmarked LSTM models to recommend forecasting models.

Python SQL XGBoost LightGBM LSTM AWS Amazon SNS Cloudwatch Demand Forecasting Model Evaluation

Data Scientist

August Infotech

Jan 2024 - Jul 2024 (6 months)

Developed an XGBoost churn-prediction model improving AUC-ROC from 0.68 to 0.81. Collaborated on LightGBM classifier and evaluated retention interventions via A/B test, reducing churn by 10.3% relative.

Python SQL XGBoost LightGBM A B Testing Churn Analysis Feature Engineering Model Evaluation

Data Scientist Summer Intern

IBM CSRBox

Jun 2023 - Aug 2023 (2 months)

Developed a GBDT multiclass classifier using 24 features to predict 14 career categories with 87% validation accuracy. Collaborated to integrate the model into a career-recommendation application.

Python GBDT scikit learn AWS Model Deployment Classification

Machine Learning Intern

Orion Technolabs

Jun 2022 - May 2023 (11 months)

Built a lead-scoring pipeline achieving 84% precision. Segmented 50K+ customer records using RFM and K-Means, and developed a Flask REST API for automated prediction requests.

Python Machine Learning MLP KMeans Clustering RFM Analysis Flask REST APIs