Jyszelle Martinez

Hi, I'm Jyszelle Martinez, a Business Analytics graduate focused on using data to solve real-world problems. I work with tools like Python, SQL, and Tableau to build insights and solutions, from predicting employee turnover to analyzing retail trends and detecting mental health patterns using NLP.

My recent projects span HR, retail, and healthcare data, and are centered around transforming complex datasets into clear, actionable insights. Based in Aurora, CO, I'm always open to collaborating on data-driven projects that make a real impact.

EXPERIENCE

  • Primoris Renewable Energy Analyst Intern

    Built Random Forest and Logistic Regression models on HR data from 12,000+ employees to predict voluntary vs. involuntary terminations.

    Engineered 70+ features such as tenure and rehire patterns to deliver a Tableau dashboard for HR to monitor at-risk employees.

    Tools: Python, Scikit-learn, Pandas, Tableau, Excel

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  • Rudi’s Bakery Analyst Intern

    Cleaned and analyzed 60K+ rows of retail sales data to uncover revenue drivers, identify top performing retailers, and detect anomalies.

    Applied regression, clustering, and Isolation Forest to deliver SKU-level product recommendations and optimize inventory strategy.

    Tools: Python, Scikit-learn, regex

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PROJECTS

  • Mental Illness Detection Using NLP

    Built and fine-tuned BERT, DistilBERT, and RoBERTa models on Reddit mental health text to detect signs of mental illness. Demonstrated potential for early screening tools in public health.

    Tools: Python, Transformers, Scikit-learn, LIME.

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  • Predicting Success in Film: IMDb Rating Forecasting

    Integrated AWS EMR, Docker, and Seaborn for large-scale modeling and enabling faster rating predictions and deeper genre-based insights for film production and company decisions.

    Tools: PySpark, AWS EMR, Docker, Seaborn

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  • Wellmark Blue Cross and Blue Shield – Dual Eligibility Analytics

    Case competition project forecasting dual eligibility demand through 2035. Delivered strategic recommendations for rural healthcare investment and workforce expansion.

    Tools: Python, Tableau, Excel

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Programs

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Programs .

Languages & Libraries

Tools & Platform

Cloud & Big Data

Machine Learning & AI

Resume

I’ve worked on analytics projects in HR, retail, and healthcare, with technical experience in Python, SQL, Tableau, and PySpark. My background in biology and healthcare gives me a unique edge in understanding data within human and operational contexts.

Contact me.

Whether you’re interested in working together or just want to connect, feel free to reach out!

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