I'm a recent Data Science graduate from Chapman University with published research in machine learning and NLP. I build end-to-end data solutions—from web scraping and data pipelines to predictive models and interactive dashboards—with a focus on making technology accessible and impactful.

Chapman University Digital Commons | December 2025

Evaluated neural machine translation and semantic similarity detection for Arabic–English hadiths using the full Sahih Bukhari corpus (7,550 hadiths). MarianMT transformer model fine-tuned on the full dataset improved BLEU scores by 49.6% compared to baseline. Ten Siamese architectures tested for semantic similarity, achieving ~50% accuracy, demonstrating the importance of large, domain-specific corpora for translation and analysis.

🎤 Presented at Chapman University Student Research Day:

• Oral Presentation
• Poster Presentation

🔬 Research Highlights:

• Fine-tuned MarianMT transformer on 7,550 Arabic hadiths
• 49.6% BLEU score improvement over baseline
• Tested 10 Siamese network architectures (LSTM, BiLSTM, GRU, Transformer)
• Developed Arabic-specific representations for semantic similarity
• Built web scraping pipeline for data collection and preprocessing

💻 Tech Stack: Python, PyTorch, Transformers (MarianMT, Hugging Face), BeautifulSoup, NLP, Deep Learning, LSTM, BiLSTM, GRU

📖 Read Full Paper →

• Machine Learning & NLP: Build neural networks, transformers, and similarity detection models
• Data Engineering: Design databases, optimize SQL queries, and create data pipelines
• Data Visualization: Create interactive dashboards using Tableau, Power BI, and Python libraries
• Web Scraping & Automation: Extract and process data from web sources with BeautifulSoup
• Statistical Analysis: Apply predictive modeling and feature engineering to complex datasets

Neural machine translation system using MarianMT transformers to translate 7,550 Arabic hadiths, achieving 49.6% BLEU score improvement. Built 10 deep learning models (LSTM, BiLSTM, GRU) for semantic similarity detection. Published research in Chapman University Digital Commons.

• Tech: Python, PyTorch, Transformers, BeautifulSoup, NLP
• Publication: https://digitalcommons.chapman.edu/cusrd_abstracts/779/

Full-stack platform with Streamlit frontend and MySQL backend, featuring normalized database design, role-based access control, and interactive dashboards for shelter operations.

• Tech: Python, Streamlit, MySQL, SQL, Database Design

Analyzed 500K+ luxury resale product listings using Tableau, Power BI, and Alteryx to identify pricing inefficiencies and optimize revenue strategies.

• Tech: Tableau, Power BI, Alteryx, Python, Data Visualization

Built and optimized Random Forest classifier with hyperparameter tuning to predict heart disease risk from medical datasets.

• Tech: Python, scikit-learn, Pandas, Statistical Modeling

• 🔍 Seeking Data Analyst or Data Scientist roles where I can apply ML and analytics to drive insights
• 🌱 Expanding my cloud computing skills (AWS, Azure)
• 📚 Reading research papers on transformer architectures and NLP applications

• Data science & machine learning for social impact
• Natural language processing and multilingual AI
• Healthcare analytics and predictive modeling
• Ethical AI, fairness, and algorithmic bias
• Interactive data storytelling and visualization

• Open-source data science and ML projects
• NLP applications for underrepresented languages
• Data visualizations that tell compelling stories
• Projects with social impact and real-world applications

• 📧 Email: speightasiyah@gmail.com
• 💼 LinkedIn: linkedin.com/in/asiyahspeight
• 🌐 Portfolio: AsiyahSpeight.github.io/asiyah-portfolio
• 📄 Research: Published Paper on ML & NLP

Languages & Tools:

Data Science & ML:

Visualization & BI:

Database & DevOps:

• 📚 I love manga and fantasy novels
• 🧕🏾 I enjoy modest fashion and expressing creativity through style
• 🌍 I'm passionate about creating inclusive spaces in tech—you belong here!
• 🗣️ Currently learning Arabic and Thai

💬 Open to collaborations, opportunities, and conversations about data science, ML, and tech for good!