I'm Shreya, a UX Researcher who uses data storytelling to win hearts and change minds.
I thrive in fast-paced teams with heartwarming missions and a love of data!
📍Brooklyn
Subtly placed copy of The Power Broker↗.
Subtly placed copy of The Power Broker↗.
🐒 In a past life, I studied primate behavior (technically, still do) and worked in a variety of laboratories at UChicago↗ & UC Davis↗. The scientific method is in my DNA.
Statistics, Survey Design & Analysis, Literature Reviews, Hypothesis Testing Experimentation, Field Studies, Ethnographic Research
💼 Over the last 5+ years, I've mastered my craft at Chase↗, Peloton↗, Unity↗, and fintech startups↗ .
A/B Testing, Benchmarking, In-Depth Interviews, Competitive Analysis, Qualitative Coding, Comparison Studies, Research with High-Stakes Users, Heuristic Evaluation, Diary Studies, Feature Validation
📈 I'm always upskilling for UX; currently a fellow at the NYC Data Science Academy↗, a committee member at the Data Visualization Society↗ and a soon-to-be contributor at Nightingale Magazine↗.
Sentiment Analysis, User Segmentation, R, Python, HTML/CSS, Predictive Modeling (Linear/Logistic Regression, Classification, Clustering, Decision Tree, Random Forest), Data Visualization, Methods (Mining, Wrangling, Cleaning, Analysis, Visualization, Storytelling)
🫶🏽 My superpower is the ability to bring closeness and inclusion to teams, stemming from genuine friendliness and affinity for a variety of personalities.
Objective: Uncover diversity in indie game creators' workflows, motivations, and challenges.
Approach: Conducted a large-scale quantitative survey, followed by k-means clustering to identify user segments. Validated findings through in-depth interviews (8 per segment).
Impact: Built a data-backed repository of user personas, aligning teams around key insights and breaking down silos.
Challenge: Redesigning a complex product without standard success metrics like conversion or revenue, with limited user data access.
Approach: Designed a mixed-methods usability benchmark, combining qualitative insights (user friction, mental models) with quantitative metrics (time on task, errors, SUS score).
Impact: Established a clear, measurable framework for product success and embedded a culture of data-driven decision-making.
I applied Python to scrape boardgamegeek.com, analyzing board game trends to uncover what drives popularity in niche markets. This type of behavioral analysis helps inform product design, user engagement, and feature prioritization.
Read the article↗Do New Yorker personality traits differ by neighborhood? This website is my attempt to replicate the efforts of Jokela et al ↗ which measured these traits among Londoners broken up by neighborhood.
Read more and take the survey↗The Atlantic Brant is the most commonly found bird in Brooklyn during Audubon's Christmas bird count. Why? I investigate the data to find out.
Read more↗✍🏽 I'm a non-fiction storyteller↗, harpist, boardgamer, 3D printing + tinkering enthusiast (shameless Etsy↗ plug), and history↗ + near-future sci-fi↗ reader.
📚 Dare I say, active editor @ Wikipedia.
