Haochen Miao

About

Learn more about me

Data Scientist & Machine Learning Engineer

I am an international student from Northwestern part of China and I enjoy eating Ramen and hiking.

Machine Learning
Data Analysis
Cloud Computing
Data Engineering
Data Visualization

Database Management
Statistical Analysis
Data Warehousing
Data Cleaning

I am currently graduated from University of Washington with a bachelor degree in data science and geographic information systems. I am proficient in Python, SQL, R, etc. My projects has been focused on predictive modeling and machine learning algorithms, excelling in real-time data processing and collaborative solution delivery.

Happy Clients

Projects

Hours Of Support

Awards

Skills

Python 100%

SQL 90%

JavaScript (P5.js, Vega-Lite, D3) 75%

R 75%

HTML 50%

CSS 50%

Microsoft Office Suite (Word, PowerPoint, Excel, Teams) 100%

Google Workspace (Docs, Sheets, Slides) 100%

Tableau 55%

Postman 85%

Azure 75%

AWS 78%

Postman 85%

Interests

Power Lift

Hiking

Video Gaming

Travelling

Data Nerd

Chess

War History

Music

Podcast

Testimonials

shout out to my friends，Haochen is one of my diligent students！

Bo Zhao

UW Professor; GIS PHD

Haochen has always displayed a high degree of integrity, responsibility, and ambition. He is definitely a leader rather than a follower.

Roshunda Reid

Manager, Haochen's supervisor

Haochen is very responsive and he was able to complete all his work by the deadlines we set for ourselves so that we could perform the best analysis and presentations we possibly could.

Ronan White

Co-worker, teammate

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Matt Brandon

Freelancer

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John Larson

Entrepreneur

Resume

Check My Resume

Sumary

Haochen Miao

Innovative and deadline-driven data scientist with 3+ years of education + working experience in data analytics, predictive modeling, and machine learning algorithms, excelling in real-time data processing and collaborative solution delivery, poised to contribute to your company's innovations.

Education

Bachelor of Geography: Data Science

2019 - 2024

University of Washington, Seattle, WA

Sitting in the heart of Seattle, I have obtained 3 years of consistent Dean's list from the university and my relevant courses includes data science, machine learning, data visualization, spatial analysis, programming and statistics.

Relevant Experience

Data Scientist

May. 2024 - Present

JumpStartCSR, Seattle, WA

Created 3D graphs and business intelligence reports with matplotlib and Plotly, increasing stakeholder engagement by 20%.
Built a data warehousing solution in Azure PostgreSQL, improving query performance by 30% with optimized SQL schema and queries.
Streamlined biosensor data ingestion with Kafka pipelines and CI/CD processes, reducing processing times by 35%.
Developed machine learning models with PySpark and Kalman filters, achieving 92% accuracy in predicting travel metrics for IMU data.

Data Analyst Intern

Aug. 2023 - Dec. 2023

Curacubby.Inc, Berkeley, CA

Collected, de-identified, and processed over 1 million rows of school data using Python, reducing manual entry by 70% and improving database accuracy.
Conducted data quality checks with SQL and Excel, standardizing 30% of client payment records and enhancing accuracy by 25%.
Managed migration of records from HubSpot to Excel and integrated Stripe data into Power BI, accelerating migration by 50%.
Created Power BI dashboards to visualize sales trends, increasing data-driven decisions and boosting sales by 15%.

Geospatial Data Scientist (Capstone Project)

Mar. 2023 - Jun. 2023

U.S. Department of Housing and Urban Development, New York, NY

Automated data scraping from legal case PDFs using Python and OCR, increasing data accuracy by 30% and reducing manual entry time by 80%.
Implemented Bayesian Improved Surname Geocoding, achieving 92% accuracy in predicting racial group affiliations for analysis.
Created interactive Tableau dashboards, enhancing understanding for over 90 stakeholders and boosting data-driven decisions by 25%.
Delivered detailed proposals and presentations with PowerPoint and Tableau, increasing decision-maker engagement by 25%.