😄 My pronouns is she/her
👩🎓 I'm a data scientist with a B.S. in Computer Science and an M.S. in Business Analytics. I use Python, SQL, Power BI, Excel, and R to transform complex data into reliable insights, clear visualizations, and practical recommendations.
👩💻 My interests include data analytics, business intelligence, predictive modeling, and applied machine learning. I enjoy projects that combine technical problem-solving with practical business impact.
- 🌍 I'm based in United States
- 🖥️ See my portfolio at GitHub
Please feel free to see some of my projects
-
🔭 Ulta Beauty Assortment Analysis A beauty-tech case study demonstrating an end-to-end data engineering pipeline, from responsible web collection and normalized schemas through data cleaning, image processing, color science, validation, and reproducible analytical outputs.
- Built a reproducible Python pipeline to collect, clean, validate, and organize public product and variant data.
- Extracted colors from digital swatch images and converted them into RGB, HEX, and CIE L*a*b* color representations.
- Developed an interactive color map for exploring products by hue, lightness, brand, and shade.
- Analyzed product prices and unit prices to make comparisons across different package sizes.
- Used Python, SQL, Power BI, and Plotly to prepare, analyze, and visualize the data.
-
🏁 Job Optimizer An NLP-focused project designed to help job seekers understand and evaluate job postings.
- Applied natural language processing and machine-learning techniques to job-posting text.
- Explored how skills, qualifications, and other important terms can be extracted from job descriptions.
- Created analytical workflows to support more informed job-search decisions.
-
🏁 Police Incident Reports This Power BI report visualizes police incident reports to analyze crime trends, district-wise incidents, and temporal crime patterns. The goal is to provide actionable insights for law enforcement, policymakers, and the public.
