Qiqi Chen

Consultant

Monterey, California, United States4 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in AI-driven public-good projects.
Proven track record in data analysis and management.
Strong background in international development and policy.

Stackforce AI infers this person is a Public Sector AI Specialist with a focus on data-driven policy analysis.

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Skills

Core Skills

Agent-based SimulationData ManagementData AnalysisArtificial Intelligence (ai)Machine Learning

Other Skills

Embedding-based RetrievalCLI-driven PipelinesDatabasesPython (Programming Language)R (Programming Language)Microsoft Power BIRetrieval-Augmented Generation (RAG)Named Entity Recognition (NER)Social Network AnalysisPyTorchProduct ManagementProject ManagementPartner Relationship ManagementResearch and Development (R&D)Project Coordination

About

I started in Computer Science/AI but the endless race for marginal metric gains left me cold. I’d rather build AI that people can touch and use useful, meaningful, and fun. If you’re working on public-good AI, or motorcycles, or have a good sci-fi rec, let’s talk.

Experience

Center for effective global action (cega)

Lab Assistant

May 2025 – Aug 2025 · 3 mos · Berkeley, California, United States

Led data cleaning and integration for large-scale household survey data in Guatemala, ensuring cross-module consistency and reproducibility across Stata, Python, and R workflows.
Resolved legacy data compatibility and pipeline robustness issues, improving data usability for downstream poverty modeling and analysis.
Developed and validated comprehensive metadata and variable documentation through a combination of automated extraction, translation, and manual verification against survey instruments.
Supported research readiness by reviewing variable quality, resolving documentation gaps, and providing detailed variable-level clarification to project stakeholders.

Data AnalysisData ManagementR (Programming Language)

James martin center for nonproliferation studies

Research Scholar

Jan 2025 – Present · 1 yr 2 mos · California, United States · On-site

Designed and implemented a multi-agent simulation system to model diplomatic positions in the NPT review process.
Built a document processing pipeline for extracting and structuring content from NPT statements.
Developed an interactive Streamlit application for visualizing simulation outputs and supporting evidence.

Embedding-based RetrievalAgent-based SimulationCLI-driven PipelinesDatabasesPython (Programming Language)Data Management

Usaid

Data Analyst

Sep 2024 – May 2025 · 8 mos

Collaborated with the MIIS Meta Lab and USAID’s Leading Through Learning Global Platform (LTLGP) on data analysis and capacity-building initiatives
Conducted data analysis, using Power BI, Python, and SQL to build interactive dashboards and analyze user engagement, content dissemination, participant diversity, and network sustainability to inform global education policy.
Provided technical training and support to LTLGP partners, ensuring they can independently access, query, and interpret data for evidence-based decision-making.
Secured financial support from agencies including Monterey County government by translating complex research methodologies like Respondent Driven Sampling into clear, actionable insights for funding partners.
Lead peer training initiatives, organizing ”Geekout” sessions to strengthen statistical, policy analysis skills and data visualization among research teams.

Microsoft Power BIData AnalysisPython (Programming Language)Data Management

Unido

Information Technology and Digitalization Consultant, COR/DIG

Sep 2023 – Aug 2024 · 11 mos · Vienna, Austria · On-site

Supported cross-sector collaborations to assess and implement data-driven digital transformation initiatives, optimizing UN programs through AI, machine learning, and large language models (LLMs).
Designed and deployed AI/RAG-based tools for the Organization (e.g., automated text summarization, chatbots), improving efficiency in humanitarian and development projects.
Developed evidence-based digital strategies, aligning UNIDO’s data governance with international best practices by engaging member states, academic institutions, and private sectors (Google, CGI, T-System).
Advised on AI applications in international security, contributing to expert discussions with IAEA on the use of LLMs for nuclear risk assessment and policy analysis.

Retrieval-Augmented Generation (RAG)Python (Programming Language)Artificial Intelligence (AI)Machine Learning

United nations

Coordination Analyst, Office of the Resident Coordinator in China

Aug 2022 – Aug 2023 · 1 yr · Beijing, China · On-site

Conducted data-driven policy analysis on social policy, digital transformation, and economic development, etc.
Collaborated with 26 UN agencies in China to develop annual reports and strategic work plans, integrating evidence-based evaluations to inform policy recommendations.
Provided high-level policy briefings to UN leadership, preparing concept notes, speeches, and briefing materials for diplomatic engagements on global development initiatives.
Supported high-level events such as Ambassador-level forums of UN system in China.

Unesco-ichei

Intern, West Asia and Africa Programme Office

Mar 2022 – Jul 2022 · 4 mos · Shenzhen, Guangdong, China

Supported projects on digital transformation of higher education institutions in Africa, including policy analysis, feasibility analysis and evaluation of projects such as online AI courses and smart classroom projects in Kenya
Compiled reports for cooperation projects including Industry-Education Cooperation Demand Survey and Online Higher Education Certification Mechanism etc.

Tencent

User Research Intern (IEG)

Apr 2021 – Jul 2021 · 3 mos · Shenzhen, Guangdong, China

Developed and iterated an online community and analyzed user data from the application and questionnaires

Tsinghua-berkeley shenzhen institute

Research Assistant

Aug 2020 – Jun 2022 · 1 yr 10 mos

Collaborated with Shenzhen Municipal Government working on an AI-powered talent management platform to strengthen Shenzhen’s civil service management system.
Coordinated stakeholder engagement across government departments, academic institutions, and technology firms to align project objectives, technical requirements, and implementation timelines.
Designed and developed AI algorithms (Natural Language Processing, Named Entity Recognition) for data processing, talent matching, and performance analysis, improving the accuracy and efficiency of recruitment and workforce management.
Oversaw system integration and testing, ensuring compliance with government data governance and security

Named Entity Recognition (NER)Social Network AnalysisPyTorchArtificial Intelligence (AI)Data Analysis