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Michelle Min

Michelle Min

Business Analyst

Braven | Princeton | San Francisco Bay Area

Technologies

My Portfolio Highlights

My New Notebook

Dashboard: Increasing Customer Engagement

My New Article

Causal Inference: How Language Affects Youth Self-Esteem

My New Article

Project Management: Two Data Life Cycles

Innovative problem-solver with expertise in data analysis, systems design, and business insights

My Work

Take a look at my latest work.

notebook

Dashboard: Increasing Customer Engagement

PythonTableau
article

Causal Inference: How Language Affects Youth Self-Esteem

RTheory
article

Project Management: Two Data Life Cycles

PythonSQLBigQuery
github

Notebook: Explore Ticket Trends with Data Viz

PythonGit
notebook

Dashboard: Helpline Annual Report

RTableau
github

Web Experiment Platform: Autism and Word Learning

Git
article

Statistical Analysis: Language Policy and Political Party

RTheory

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

Braven Company-wide Core Value Award for Problem-solving and Innovation

Princeton Project 55 AlumniCorps Data Fellow

EPIC UC Berkeley and Schmidt Futures Education Data Science Fellow

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Braven | Aug 2022 - Present

Business Analyst

Braven is a workforce development organization with the largest private national dataset of student post-undergraduate employment outcomes. • Recommended new key metrics to senior leadership based on business objectives and industry research, which led to the adoption of three KPIs and strategic priorities • Overhauled customer engagement metrics and built SQL data pipelines and Tableau dashboard based on stakeholder feedback, which helped increase customer satisfaction by 11 points
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Braven | Aug 2021 - Aug 2022

Data Analyst

• Analyzed customer data with Python and presented actionable insights to product and marketing teams, which led to a 25% increase in conversion rate over two program cycles • Designed success metrics and implemented A/B test on jobs referral service with product managers and designers, which doubled the number of active users quarter-over-quarter

TeacherPrints | May 2021 - Jul 2021

Data Science Intern

TeacherPrints is a machine learning-based personalized instructional coaching app. • Contributed to audio dataset and researched a natural language understanding model that extracts learned concepts from classroom discourse between students and teachers • Designed Figma mock-ups of intuitive, interactive data visualization tools for educators

Princeton Linguistics Lab | Jan 2020 - Jan 2021

Research Assistant

Received the Senior Thesis Prize in Linguistics for an experimental research paper of publishable quality. • Led multivariate experiment, conducted regression analysis in R, and identified statistically significant effect of iconicity and language learning (advised by Prof Christianne Fellbaum) • Supported design of multivariate experiment (RCT) on word learning in children with autism and built the web browser experiment with JavaScript (under Prof Adele Goldberg)

My Education

Take a look at my formal education

BA in Linguistics and StatisticsPrinceton University

About Me

Michelle Min

What insights can we draw from data? How do people best learn and communicate? I build data tools, reports, and dashboards that leverage human-centered design to empower people of all backgrounds to make the best business decisions.

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