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Yi-Ming Chang

@yimingchang

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7+ years of Python with model development and Machine Learning and Cloud Computing, 3+ years of SQL.

Canada

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What I'm looking for

🔹 Data-Driven Problem Solver | Python & SQL Expert | Financial & Risk Analytics

With a strong foundation in programming, mathematics, problem solving and statistical modeling, I specialize in transforming complex data into actionable insights. My background in Physics and Computational Research from Queen’s University and Dalhousie University has honed my analytical mindset, allowing me to approach problems with precision and efficiency.

💡 What I Bring:

✔ Advanced Python & SQL – Skilled in building data pipelines, statistical models, and predictive analytics

✔ Cloud Computing (Azure, Queen’s CAC) – Optimized large-scale simulations and data workflows using distributed computing and HPC

✔ Financial & Investment Analysis – Assessed 15+ quantum tech firms, evaluating risks and market trends to develop data-driven proposals for a RMB ¥40M investment initiative

✔ Data Visualization & Automation – Developed interactive Power BI dashboards, streamlining data analysis for investment strategies

✔ Collaborative & Fast Learner – Thrive in fast-paced, high-impact environments, quickly adapting to new tools and technologies

🚀 Looking for Opportunities in Data Scientist, Risk Modeling, Quantitative Analysis, or Data Analytics, where I can apply my technical expertise and problem-solving skills to drive business decisions.

Experience

Work history, roles, and key accomplishments

Industry Data Analyst

Guangzhou Zhishang Investment Company

Jun 2024 - Dec 2024 (6 months)

Market Research, Interactive Power BI dashboard, ETL pipeline, competitive market analysis, Python and Excel

Python Market Research Market Analysis Power BI Competitive Analysis ETL ELT Data Pipelines

Physics Assistant

Hughes Research Group

Jul 2021 - Apr 2024 (2 years 9 months)

I was MSc candidates at Queen's University

Python High Performance Computing Cloud Computing Cloud Technologies Pandas Matplotlib Data Visualization Bash Scripting NumPy Qutip Foundational Model Development Validation MPI Implementations Scientific Communications

Teaching Assistant

Queen's University

Sep 2021 - Apr 2023 (1 year 7 months)

• Instructed 50+ students weekly (120+ hours), answering questions and delivering midterm/final tutorials.
• Simplified complex mathematical and physics concepts with relatable examples and LaTeX-based tutorials to enhance student understanding and problem-solving skills.

Debugging Communication Skills Root Cause Analysis Efficiency Improvement Code Review Code Development Tutoring Experience Tutorials

Research Assistant

Dalhousie University

May 2020 - Dec 2020 (7 months)

• Developed a fast numerical model in MATLAB to solve the McKelvey-Shockley Flux (PDEs) equations using integral and numerical methods (Forward Difference), achieving a solution time of 0.019 seconds with 30,001 points.

Foundational Model Development Validation Writing Partial Differential Equations (PDE)Integrals Numerical Methods Analytical Methods Validation Intuitive Design

Education

Degrees, certifications, and relevant coursework

Queen's University

Master of Science, Computational and Theoretical Physics

2021 - 2024

Grade: 3.98/4.3

Graduated with several publications, specialized in analytical and numerical model developments, HPC, cloud computing, cloud platform solution, parallel simulation.

Dalhousie University

Bachelor of Science, Physics

2017 - 2021

Grade: 3.74/4.3

Activities and societies: Served as a committee of AUPAC 2021 conference. Freelance High School and University student teaching.

Graduated with Honours, Minor in Mathematics. Learned Python, Data Structure, Machine Learning Methods, Scientific Writing, strong analytical thinking and presentation skills.