Hello, I'm

Yueling Qiu

Master's student in Applied Data Analytics | Data Analyst Candidate

Turning data into clear insights and business value with analytics, machine learning, app building, and bilingual communication.

  • Python
  • SQL
  • Machine Learning
  • Data Visualization
  • Bilingual Communication
Portrait of Yueling Qiu
Data + Product Analytics workflows and practical apps
A

About Me

Analytical training with practical product execution.

I am a Master's student in Applied Data Analytics at Boston University. With a mathematics background from UC Davis and hands-on analytics training, I enjoy turning complex data into meaningful insights that support data-driven decisions. My internship experience strengthened my ability to translate technical content into clear business communication and support cross-functional collaboration.

Boston University Applied Data Analytics Mandarin + English

Career Interests

  • Data Analyst
  • Business Data Analyst
  • Analytics Associate

Strengths

Analytical thinking, data communication, bilingual communication, collaboration, and problem solving.

Featured Projects

Selected analytics projects spanning machine learning, database design, and decision-ready reporting.

View app projects
Machine Learning Feb 2026 - May 2026

American Housing Survey Classification Analysis

Predict disability status in a large-scale housing survey dataset while improving minority-class reliability.

  • Python
  • scikit-learn
  • Imbalanced Data
  • 36 Pipelines
ML
Project Dashboard

Classification Evidence Board

Dashboard-style overview of the dataset, model pipeline, balancing approach, and evaluation evidence.

Housing analytics visualization with residential buildings, survey checklist, classification charts, and model evidence
Wellness database visualization with sleep, stress, study analytics, connected data stores, and dashboard elements
Stock prediction visualization with candlestick chart, trend signal, model dashboard, and analytics visuals
Recipe review classification visualization with food ratings, review cards, and feature distribution charts
36Pipeline combinations
4Balancing methods
9Classifiers

Problem

Predict housing survey outcomes with stronger reliability for the minority class.

Methods

36 pipeline combinations across four balancing methods and nine classifiers.

Evaluation

Recall, TPR, precision, F1-score, and confusion-matrix analysis.

Value

Improved minority-class prediction reliability with transparent model comparison evidence.

Workflow

  1. Cleaned survey data and prepared model-ready features.
  2. Compared balancing methods and classifier families.
  3. Evaluated minority-class reliability with classification metrics.

What it demonstrates

  • Structured model experimentation.
  • Careful evaluation beyond headline accuracy.
  • Clear communication of modeling tradeoffs.

Evidence Map

Dataset Pipeline Evaluation Model Comparison

Product / App Projects

Personal apps showing product execution, local app workflows, and data-informed product thinking.

SlackerBuddy app icon FuFu blinking companion pose
Wellness Companion FuFu is on duty
  • Rest reminder Gentle breaks during focused work.
  • Hydration check Water reminders without breaking flow.
  • PetDex collection A small companion layer for motivation.

SwiftUI + AppKit + Electron

SlackerBuddy

A desktop companion app that helps users rest, hydrate, and feel less alone while working.

  • Desktop pet animations with rest and water reminders.
  • PetDex support, bilingual settings, and downloadable builds.
  • Demonstrates product execution, cross-platform packaging, and user-centered design.
Visit SlackerBuddy website

Skills

Click a skill group to see how it supports the portfolio.

Technical Toolbox

A fuller view of the skills, methods, and software I use across analytics work.

Hover over the moving rows to slow them down and scan each tool clearly.

Data Analysis

Data cleaning, feature engineering, EDA, dashboards, reports, spreadsheets, and SQL queries.

E

Experience

Technical Translator & Project Support Intern

Shenzhen Aival Data Technology Co. Ltd. | Jul 2024 - Aug 2024

  • Translated and standardized technical documentation and UI content for a big data platform.
  • Supported cross-functional coordination across project stakeholders and technical-material delivery under deadline.
  • Created a client-facing presentation on AI-driven productivity solutions.