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Elham Ali

Santa Clarita, California

R, Python, SQL, Statistical Data Analysis, Experimentation, Causal Inference


Overview

Hi, I’m Elham šŸ‘‹šŸ½, a UX researcher and data scientist with a decade of experience in experience research, statistical data analysis, human-centered design, and project management in public health and civic tech. As a doctoral student (DrPH) at Johns Hopkins University, I focus on using data science to advance equitable, sustainable, and resilient food systems.

šŸ“š As an educator, I make learning enjoyable and accessible, specializing in demystifying topics like statistics and data analysis. I use interactive methods, the teach-back approach, sketchnoting, and relatable examples to cater to diverse learning styles. My students range from data science novices to career-transitioning professionals, from recent graduates to experienced individuals seeking more quantitative skills.

šŸ“ˆ Areas of focus:
– UX research and design (qualitative and quantitative research design, equity-driven community participatory research, survey design, sampling techniques, experimentation, A/B testing)
– Data analysis and statistical modeling (R, Python, EDA, causal inference, PCA, k-means clustering, data wrangling, munging, hacking, data equity)
– Geospatial mapping (exploratory and inferential spatial data analysis)
– Data visualization and storytelling (Shiny and Flexdashboard application development)
– NLP Classification Methods (sentiment analysis, text mining)

Interested in ethical and accountable GenAI and open data science education.


Tutoring Offered

605.101: Introduction to Python
605.457: Statistics for Bioinformatics
625.403: Statistical Methods and Data Analysis
625.463: Multivariate Statistics and Stochastic Analysis
625.725: Theory of Statistics I
625.726: Theory of Statistics II

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