Open to opportunities

Huishan Chen

@huishanchen

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Data professional blending analytics, ML, and business impact.

Canada

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What I'm looking for

I seek a remote or hybrid analytics role where I can build end-to-end data solutions, drive measurable business impact, and collaborate cross-functionally while continuing technical growth.

I am a data professional with a hybrid background in quantitative finance, engineering, and entrepreneurship, applying analytics to drive growth and operational improvements in remote roles.

I have delivered end-to-end analytics solutions — SQL/Python data pipelines, Power BI dashboards, and machine learning models (XGBoost, Random Forest) — that increased customer engagement and repeat usage while enabling data-driven decisions across marketing and product teams.

I founded and operated a profitable high-end Pilates studio while maintaining continuous data upskilling and remote collaboration experience, and I hold advanced technical training in engineering, finance, and data science.

Experience

Work history, roles, and key accomplishments

Founder & Chief Coach

High-End Personal Pilates Studio

Jan 2024 - Jul 2025 (1 year 6 months)

Founded and operated a high-end Pilates studio serving 80+ high-net-worth clients and achieved sustained first-year profitability through end-to-end ownership of operations and client retention strategies.

entrepreneurship Operations Management Client Retention STOTT Pilates Instruction Business Development Financial Planning

Marketing Data Analyst

Best Egg Services, LLC

Jul 2022 - Dec 2023 (1 year 5 months)

Built end-to-end SQL/Python data pipelines and Power BI dashboards that increased customer engagement by 20% and returning customers by 14% while delivering cost savings through improved data governance.

SQL Python Power BI Snowflake XGBoost A B Testing Data Pipeline Development Data Governance Customer Analytics

Data Scientist Intern

EigenPatterns Inc.

Jan 2022 - Jul 2022 (6 months)

Designed and implemented a Python-based time-series anomaly detection system using DTW and k-NN, reducing runtime by 40% and improving detection accuracy by 15% for gas and electric network monitoring.

Time Series Analysis Python Dynamic Time Warping K NN Signal Processing

Quantitative Analyst Intern

Shepherd Ventures

Sep 2021 - Jul 2022 (10 months)

Built and backtested portfolio models (mean-variance, regression) in Python and Excel and led a five-member remote analysis team to iterate asset allocation strategies and standardize analytical workflows.

Python Excel Team Leadership regression Mean Variance Optimization

Graduate Researcher

University of California, Santa Barbara

Aug 2017 - Dec 2019 (2 years 4 months)

Performed safety verification for stochastic and hybrid systems and implemented a Bayesian learning framework in C++ to detect failure edge cases in analog and mixed-signal circuits.

Stochastic Control C#Simulation Reachability Analysis Research

Education

Degrees, certifications, and relevant coursework

UCLA Extension

Certificate in Finance, Finance

2021 - 2022

Grade: 4.00/4.00

Completed a Certificate in Finance with a 4.00/4.00 GPA, covering core finance topics and quantitative methods.

University of California, Santa Barbara

Master of Science, Electrical & Computer Engineering

2018 - 2020

Grade: 3.85/4.00

Completed a Master of Science in Electrical & Computer Engineering with a 3.85/4.00 GPA, focusing on stochastic control, safety verification, and Bayesian learning.