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@lalalauser

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Business data analyst at Temu building forecasting models and analytics for international markets.

Singapore

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At Temu, I developed GMV and LTV forecasting models for international markets, reducing short-term GMV MAPE by 8%–12% and long-term value prediction error by 10%+. The resulting insights supported multi-million-dollar budget planning for overseas markets.

I also processed large-scale logs with Spark and Hive to build automated metric systems, and optimized data warehouse architecture and ETL logic to improve forecasting pipeline performance by 25%+. My cross-market funnel analytics framework delivered a 3–5% CVR lift in key regions.

Earlier, at Shanghai Pekon Digital Technology Co., Ltd., I built a retail analytics platform used by 10+ brands and developed sales forecasting models. At AI Singapore, I designed annotation methods for multimodal datasets and supported model evaluation; at PricewaterhouseCoopers (PwC), I created a quantitative framework for investment evaluation.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst (Business Intelligence)

Current

Temu (Pinduoduo)

Aug 2025 - Present (1 year 2 months)

Led development of GMV and LTV forecasting models across international markets, reducing short-term GMV MAPE by 8-12% and long-term value prediction error by 10%+. Built data pipelines with Spark and Hive, optimized data warehouse architecture, and standardized A/B testing workflows.

Prophet LSTM LightGBM deep neural networks Spark Hive ETL Data Warehouse A B Testing Statistical Validation Data Quality Management Python SQL

Data Annotation Analyst Intern

AI Singapore

Jan 2025 - May 2025 (4 months)

Designed structured annotation methodologies for multimodal datasets and supported model evaluation by developing quality metrics and evaluation protocols. Collaborated with project managers and AI engineers to assess data readiness and refine annotation feedback loops.

Data Annotation Multimodal Data Model Evaluation Quality Metrics Data Governance Python Communication Skills

Global Business Consulting Intern

PricewaterhouseCoopers (PwC)

Jun 2024 - Jul 2024 (1 month)

Conducted regional economic assessments and translated stakeholder requirements into a quantifiable scoring framework using Python. Developed Business Process Models and proposed policy reforms that increased assessment score accuracy by 30%. Streamlined data workflows and applied Agile methodologies.

Python BPMN Data Flow Diagrams Agile Jira Confluence Data Quality Checks Stakeholder Management Data Governance

Data Research and Development Intern

Shanghai Pekon Digital Technology Co., Ltd.

Sep 2023 - Jan 2024 (4 months)

Built relational data models and deployed a scalable SQL-based aggregation system, improving processing efficiency by 35%. Developed Random Forest models for sales forecasting with 85% accuracy, and conducted customer behavior analysis across e-commerce and offline channels.

SQL Data Modeling Business Intelligence Dashboarding Random Forest Predictive Analytics Customer Segmentation Omnichannel Analytics

Product Analyst Intern

Golden Trust Sinopac Fund Management Co., Ltd.

May 2021 - Aug 2021 (3 months)

Conducted competitive landscape and market trend analysis to inform product positioning, contributing to the launch of three new funds. Performed root-cause analysis on unsuccessful fund offerings and developed an R-based performance evaluation model for 50+ funds.

Market Research Competitive Analysis Product Strategy Risk Assessment R Performance Evaluation Portfolio Analytics Root Cause Analysis