About me
Hi, I'm Yitong (Jennifer) Li, a passionate Data Scientist and Researcher with a background in Data Science and Psychology. I specialize in machine learning, deep learning, and natural language processing. My work focuses on leveraging data-driven insights to solve real-world problems, particularly in recommendation systems and AI fairness.
I am deeply passionate about data-driven business analysis, using analytical approaches to uncover insights that drive strategic decision-making. My goal is to merge my expertise in machine learning and data science with real-world business applications, ultimately advancing my journey to becoming a professional data scientist. By continuously exploring new technologies and refining my analytical skills, I aim to contribute to impactful solutions that optimize business performance and user experiences.
Technical Skills
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Python
Developed machine learning and deep learning models, including recommender systems using transformer-based architectures (BERT, LoRA, DistilBERT), automated usability testing scripts (Selenium), chatbot development (GPT-2), and predictive analytics for identifying high-risk mental health patients.
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R Studio
Utilized tidyverse and lme4 packages for statistical modeling, mixed-effects models, quantitative analyses, and done machine learning and statistical testing in academic researches.
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MySQL
Managed and queried datasets such as the CK+ facial emotion dataset, customer reviews big data, wearable device user interaction logs, and prototype testing data for UX research, aiding in product design optimization and decision-making through A/B testing.
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Power BI
Built interactive dashboards visualizing sales trends, market insights, customer sentiments, and product performance, streamlining data-driven decision-making processes and significantly reducing manual analysis time.
Testimonials