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Basics

Name Alyssa Player
Label Data Scientist
Email alyssa18player@gmail.com
Phone (857) 318-1936
Url https://alyssaplayer.github.io/
Summary Data scientist with a diverse research background, bringing hands-on experience in high-throughput experimental data, statistical modelling, and innovation to quantitative problem-solving. Pursuing an MS in Data Science to transition into analytics- and research- driven roles in technology, media, and entertainment

Work

  • 2024.07 - Present
    Research Technician
    California Institute of Technology
    Research and laboratory management for the Beacon Opto-Fluidic Platform.
    • Execute high-throughput antigen reactivity screening (~20k samples/run) on the Beacon Opto-Fluidic System, contributing to discovery of novel therapeutic candidates
    • Build and manage JavaScript-automated data-entry templates in Google Sheets/Excel, saving a 3-person team ~3 hours per session and substantially reducing data entry errors
    • Produce data visualizations and scientific graphics for manuscripts, academic posters, and the Beacon Center web platform using Prism, BioLegend tools, Adobe Illustrator, Photoshop, and PowerPoint
    • Serve as primary client contact, facilitating biweekly meetings and translating findings into actionable project updates
  • 2022.02 - 2024.05
    Research Assistant
    Vantuna Research Group, Occidental College
    Undergraduate Research Assistant and Student Mentor.
    • Completed an independent Honors Thesis applying GLMMs and BACIP models in R to analyze climate-threatened reef species across the Southern California Bight
    • Processed and performed QA/QC on a 20-year longitudinal dataset for government-funded reef monitoring projects, producing annual ecosystem performance reports
    • Mentored 5-10 new students per semester in experimental design and data collection
    • Trained on substrate population transects on SCUBA to collect field data for annual quantitative population surveys
    • Collaborated with the Discovery Bay Marine Lab, Jamaica as a Richter Trust Scholar on a two-week data collection trip for an ongoing reef monitoring/ coral restoration project to observe annual organismal growth and recruitment to the reefs

Education

Certificates

Google Data Analytics
Coursera 2025-08-26

Volunteer

  • 2024.09 - Present
    Letters to a Pre-Scientist
    Serve as a STEM pen-pal mentor to inspire curiosity and expand a young student's perspective on the scientific profession.
  • 2024.07 - Present
    Green Labs, California Institute of Technology
    Assist hands-on ad outreach initiatives to educate the Caltech research community on sustainable practices and waste diversion strategies.

Publications

  • 2027
    Artificial reef models provide refuge habitat to keystone echinoderms against climate stressors [Manuscript in preparation]
    Lead-author study evaluating whether Palos Verdes Reef, California's first offshore in situ restoration reef, provides refuge habitat for sea stars and urchins recovering from the 2014–2016 wasting disease event, using 17 years (2008–2025) of SCUBA survey data to perform GLMMs and progressive-change BACIPS analyses in R. Preliminary results suggest giant sea stars and urchins recovered more strongly at the restoration reef and adjacent sites than at marine protected areas and reference reefs, with relief and substrate shaping density differently across eras.
  • 2026.10.13
    A mosaic RBD-nanoparticle pan-sarbecovirus vaccine elicits nanobodies that target highly conserved epitopes
    bioRxiv
    Contributed Beacon single-cell screening assays and nanobody characterization (cloning, ELISA, protein expression) to a study identifying llama nanobodies that target conserved RBD epitopes. Lead nanobodies neutralized SARS-CoV-2 variants of concern and zoonotic sarbecoviruses, showing potential for broadly protective therapeutics.

Projects

  • 2026.05 - 2026.08
    Predicting Customer Satisfaction (Olist)
    Application of varied machine learning techniques to data from the e-commerce platform, Olist, to predict customer satisfaction from different features.
    • KNN Regression
    • Gradient Boosting Classification

Skills

ML & Statistics
Scikit-learn
Supervised & Unsupervised Learning Models
PCA & Dimensionality Reduction (PCR/PLSR)
Regularized Regression (Lasso, Ridge, ElasticNet)
Ensemble Methods (Random Forest, Gradient Boosting)
Classification (Logistic Regression, SVM, KNN)
Clustering (K-Means, DBSCAN, HAC)
Model Evaluation & Hyperparameter Tuning
Data Visualisation
Seaborn
Matplotlib
Tableau
Statistical Modelling
Adobe Illustrator
GraphPad Prism
Languages & Tools
Python
R (R-Studio)
SQL
HTML
JavaScript
Git/GitHub
VS Code
Biology
Experimental Design
Biostatistics
Biological Data Analysis
Population Density Studies
Field Research

Awards

Languages

English
Fluent
Spanish
Beginner
Tagalog
Beginner

References

Dr Kate Malecek
Supervisor at the Beacon Center for Single Cell Biology, California Institute of Technology
Dr Jennifer Keeffe
Supervisor at the Björkman Lab, California Institute of Technology
Chelsea Williams
Mentor and Collaborator at the Vantuna Research Group, Occidental College