About Evan
I help operations and supply chain teams turn fragmented data into usable dashboards, KPI systems, and decision workflows.
My background covers warehousing, delivery, inventory, planning support, and BI transformation in international environments. At Liberty Coca-Cola in the US, I led regional analytics and reporting work across supply chain operations, built data foundations in Power BI, Snowflake, and Microsoft Fabric, and supported large-scale dashboard, UAT, governance, and self-service adoption efforts. My work has included KPI design, semantic modeling, release quality, root-cause analysis, OOS and inventory analytics, and cross-functional delivery.
More recently, I have also worked on AI data products such as NLP-to-SQL, governed database access, and conversational analytics workflows. I am most useful when a client needs someone who can connect business problems, data structure, reporting logic, and implementation detail.
English
Native or bilingual
Chinese
Native or bilingual
French
Basic
Can work on-site
Paris (up to 50km)
Experience
- RapideTMSAI Product ManagerAugust 2025 - Today (10 months)• Owned product direction for an NLP-to-SQL conversational database application, breaking the user journey into core modules such as chat, SQL preview, execution confirmation, result tables, and export, and planning the path from a zero/low-code MVP to productized delivery.• Designed a governed architecture with schema exposure boundaries, whitelisted views/TVFs, SQL validation, timeout controls, role-based permissions, pre-execution confirmation, and audit logging to reduce the risk of direct database access while improving data retrieval efficiency.• Drove internal AI coding collaboration and delivery architecture, defining role responsibilities, input standards, prompt/ template assets, quality gates, definition of done, and PR checklist; also planned multi-agent collaboration, trusted tool whitelists, safety shells, and model routing for development, testing, review, and knowledge capture.
- RapideTMSOverseas Sales ManagerApril 2025 - Today (1 year and 2 months)• Prepared AI solution materials, presales demos, and requirements clarification documents for overseas clients, supporting solution comparison and PoC discussions around AI coding collaboration, conversational databases, secure architecture, and domestic model integration.• Helped move new products from one-off demos to reusable solution packages by feeding customer questions, competitor observations, and delivery constraints back into the product roadmap.• Tracked changes across AI model and plugin ecosystems, translated them into scenario-based evaluation and integration recommendations, and documented reusable team-level solution templates and assessment frameworks.
- Liberty Coca-Cola BeveragesBusiness Intelligence DevFebruary 2023 - August 2025 (2 years and 6 months)Philadelphia, United States- Led regional BI platform delivery across supply chain, warehousing, and delivery operations; aligned priorities and milestones with leadership, ran BRD and requirements clarification, and coordinated cross-region delivery between US and India teams.- Managed execution and release quality across 6 project squads, owned final testing and release acceptance, and drove continued launches of dashboards and new features through monthly all-hands meetings and newsletters.- Helped build and optimize Microsoft Fabric, Azure Data Factory, and Snowflake data pipelines covering orders, shipments, customers, truck movements, brand-pack volumes, and OOS alerts, enabling 30-minute near-real-time batch processing and improving reporting timeliness by 40%.- Established semantic layers, star schemas, conformed dimensions, KPI dictionaries, dataset/dataflow templates, and RBAC standards that supported 100+ reports, 500+ consumers, and 140+ active users.- Standardized validation, UAT, release, and master-data correction workflows; completed 3 review cycles in 3 months across 100+ reports, reduced production defects by 50%, and supported the rollout of 10 citizen developers.- Prepared governed data inputs for LLM chatbot, digital warehouse simulation, and automated picking projects, including field mapping, metric standardization, access handling, and delivery support for AI-related use cases.
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Education
- Bachelor of ScienceRutgers University, Rutgers Business SchoolBachelor of Science
- Bachelor of Business AdministrationSouth China University of TechnologyBachelor of Business Administration