- Selected for a position on the HR data team, acting as product liaison between client stakeholders, business leaders and data engineering teams.
- Leading an initiative with the Louis Vuitton warehouse to reduce repair backlogs and boost artisan efficiency, building performance metrics that support data-backed promotion decisions.
- Built and deployed a supply chain Power BI dashboard, turning complex operational needs into clear success metrics through requirements gathering and usability studies.
- Integrating AI development tools and responsible AI practices (accuracy reviews, bias mitigation) into data pipelines.
Esther Tran
Product + data person. I make sure the numbers and the people agree with each other.
HR Data Transformation & AI Intern at Louis Vuitton in New York. Before that: product management in mental health, LLMs for clinical trials and a sensor that detects period leaks.
-- about.md
Biosystems engineering degree, statistics on the side. Three years in clinics taught me how healthcare actually runs. Then I got into building the tools: a leak-detecting wearable, an LLM chatbot for clinical trials and product work for a mental health clinic.
Now I build HR data pipelines and dashboards at Louis Vuitton. It turns out people data needs the same care as patient data, just with better handbags.
Projects
4 rows · click a row to expandExperience
ORDER BY start_date DESC- Ran user research and qualitative interviews to find friction points, informing the feature roadmap and boosting product adoption by 25%.
- Led the College Student Mental Health Campaign: strategy, outreach and multi-channel activation for high-need populations.
- Built partnerships with UC Davis Health & Wellness and student organizations to widen access to care.
- Worked with engineering and design on product requirements and milestones, and used SQL to track post-launch performance.
- Designed HIPAA-compliant outreach assets in Figma.
- Managed a client project for a bioinstrumentation professor: a shredding and heat press system that turns discarded PLA into even sheets for laser cutting.
- Ran usability and validation testing through CAD modeling.
- Won 1st Place Best Pitch leading a cross-functional team through market research, product mission definition and rapid prototype testing.
- Analyzed user datasets with statistical models to evaluate product trade-offs, improving scenario forecasting accuracy by 70%.
- Designed and trained an LLM-based chatbot in Python that guides clients toward relevant clinical trials.
- Applied NLP to extract, clean and tokenize transcript data; contributed to parsing pipelines and weekly code reviews.
- Owned the roadmap from idea to prototype; integrated Arduino sensors with a mobile UX.
- Validated 90% detection accuracy and pitched to 200+ attendees, securing faculty sponsorship.
-- archived Before tech, three years in clinics: Certified Nursing Assistant at Care Indeed, plus medical receptionist and physician intern with Dr. John Dang (2021–2024). Hence the bedside manner.
Skills
Product
Data
AI
Build & design
Education & credentials
Advised by Dr. Jelmer Eerkens, supporting PhD student Diana Malarchik. Transcribed cursive San Francisco mortuary records to study dentition and health trends in 19th-century San Francisco.
Volunteering
Raised awareness of mental, sexual and physical health through tabling and wellness events; 30+ service hours per quarter.
Tutored intro Python students on a weekly basis and stayed on call via Discord for debugging and Gradescope rescues.
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Let’s build something.
Product roles, data roles, or a good question about people analytics. I reply faster than most ETL jobs.
