Experience | Luyang Si

Nov 2025 – Present

Narciszmade, LLC

Data Analyst / Information Consultant

📍 Remote · Full-time

Design and maintain end-to-end sales data analysis pipelines in Python and R, automating KPI reporting with real-time visibility into revenue trends for the founder.
Architect and manage SQL databases ensuring data integrity, traceability, and accessibility for business decision-making.
Translate raw transactional data into synthesized recommendations informing pricing, inventory, and operational strategy.

Jan 2026 – Present

Financial Research Analyst

📍 Remote · Alpha-stage product development

Designed multi-round behavioral experiments analogous to A/B testing to measure how decision policy shifts affect outcome accuracy and calibration across participant cohorts.
Conducted precision and recall analysis of participant confidence predictions against realized outcomes, quantifying calibration error rates and identifying systematic over/underconfidence conditions.
Built a risk-divergence profiling framework (Initial Condition → Expected Outcome → Observed Outcome) to categorize error types — model error, emotional interference, narrative bias — and quantify their frequency as operational product signals.
Prepared executive-level briefings summarizing metric performance, confidence volatility trends, and policy impact analysis for founder-level decision-making.

Aug 2024 – Sep 2025

Independent Researcher

📍 Champaign, IL · Supervised by Prof. Jodi Schneider

Developed a rerun-safe automated monitoring pipeline to detect retraction status drift and flag integrity violations across Crossref DOI metadata — an anomaly detection system for scholarly data at scale. See project →
Applied precision/recall methodology to evaluate keyword-based retraction flag classifiers, identifying 208 DOIs whose retraction status silently changed between April 2023 and July 2024.
Collected DOI metadata via real-time API pipeline; extracted and compared title keywords against retraction protocol flags to assess classifier reliability.
Annotated and cleaned dataset; conducted statistical analysis of retraction flag consistency across journals using hypothesis testing and text-based methods.
Drafted full manuscript, dataset documentation, pipeline documentation, and materials for three conference presentations and posters.
Co-authored two published datasets deposited at the UIUC repository. See publications →

Jun 2024 – Aug 2025

Lead Researcher — Psychological Motivation & Sports Participation

📍 Champaign, IL · Supervised by Prof. Peter Darch

Led a three-person undergraduate research team investigating psychological factors (motivation, self-efficacy, social environment) that encourage students with low physical fitness to participate in physical activity.
Designed full research plan including study scope, hypotheses, participant recruitment strategy, and timeline.
Developed survey questionnaires, data deposit workflows, analysis pipeline code, and the final technical report.
Presented findings at the 2025 Undergraduate Research Symposium (URS), UIUC.

Aug 2024 – Dec 2024

Information Consultant

📍 Champaign, IL · Client: National Food Distributor

Served as information consultant on an inventory management optimization engagement for a national food distributor, collaborating across a multi-person consulting team.
Developed inventory demand forecasting model (Random Forest) trained on historical sales data combined with macroeconomic external factors (stock market performance, GDP, import/export data); validated model performance through cross-validation and assessed operational capacity implications of forecast accuracy ranges.
Coordinated analysis and deliverable timelines; delivered findings in executive briefings directly to client leadership, translating model outputs into actionable inventory policy recommendations.

Sep 2024 – Dec 2024

Researcher — Co-designing mHealth Applications for Cancer Survivors

📍 Champaign, IL · Supervised by Prof. Rachel Adler

Investigated integration of generative AI into mHealth applications for the aging population, with a focus on promoting healthier lifestyles among cancer survivors.
Developed a Flutter mobile application providing AI-powered health suggestions; designed the full user interface based on iterative user research with older adult participants.
Fine-tuned open-source LLaMA language models to improve the quality, safety, and relevance of AI-generated healthcare guidance for elderly users.

Mar 2024 – May 2025

Co-Founder & Vice President

📍 Champaign, IL

Co-founded a student educational organization; served as Vice President overseeing content strategy, membership engagement, and organizational development.
Created and managed social media content on Instagram; collected and analyzed the organization's social media database to surface growth insights and present data-driven recommendations to the board.

May 2023 – Aug 2023

Overseas Market Operator

📍 Beijing, China · Internship

Analyzed data on users' behaviors and attitudes toward financial products to design targeted advertising strategies for overseas markets.
Coordinated with organizations including student councils, banks, and financial service agencies to execute market outreach campaigns.