Khuyen Tran - Senior Developer Advocate

Khuyen Tran

Senior Developer Advocate

Hayward, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Khuyen Tran is a Senior Developer Advocate and founder of CodeCut with 7 years of experience making data science and ML engineering approachable through tutorials, documentation, and short-form technical content that reaches over 100,000 monthly readers. She has driven measurable growth for developer-first companies—boosting Nixtla’s LinkedIn followers by 57.5% and authoring Prefect tutorials that helped earn 1,000+ GitHub stars—while converting open-source users into product customers. Her hands-on background spans MLOps and data engineering at Accenture (SageMaker, Databricks, Terraform, GitHub Actions) and production-ready contributions to open-source projects like fastquant, where she improved backtesting, plotting, and trading strategies. Khuyen blends practical engineering (end-to-end pipelines, scalable data workflows) with clear educational storytelling, producing 180+ in-depth articles and 800+ daily CodeCut tips. Based in Hayward, CA, she pairs an academic foundation in statistics with a knack for turning complex workflows into reproducible, deployable solutions that resonate with both practitioners and decision-makers.

7 years of coding experience

7 years of employment as a software developer

Bachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at Southern Illinois University Edwardsville

English, Vietnamese

Github Skills (15)

data-visualizations10

pandas10

jupyter-notebook10

machine-learning10

data-visualization10

data-visualisation10

tradingview10

backtesting10

python10

trading10

quantitative-finance10

backtest10

data-analysis10

data-science9

algotrading9

Programming languages (14)

SmartyMDXVueGoSassHTMLJupyter NotebookHCL

Github contributions (5)

khuyentran1401/Data-science

Jul 2020 - Jan 2023

Collection of useful data science topics along with articles, videos, and code

Role in this project:

Data Scientist

Contributions:627 commits, 7 PRs, 527 pushes in 2 years 6 months

Contributions summary:Khuyen implemented a message analysis feature using the pandas and Jupyter libraries, as evidenced by the creation of a `linkedin_analysis` directory containing an .ipynb file, `message_analysis.ipynb`, which loads and analyzes LinkedIn messages. They also uploaded files and created notebooks demonstrating the utilization of a suite of data science tools to solve tasks, showing hands-on understanding of the toolchains, including Data Science, Machine Learning and Data Visualization.

data-analysispythonsciencedata-sciencedeep-learning

enzoampil/fastquant

Dec 2020 - Jan 2021

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Role in this project:

Back-end Developer

Contributions:11 commits, 5 PRs, 3 comments in 12 days

Contributions summary:Khuyen primarily contributed to the backtesting and strategy implementation aspects of the fastquant project. They added functionality for plotting backtest results, updated documentation, and made enhancements to existing trading strategies, specifically the MACD and RSI strategies, including features like upper and lower bands for RSI. Their changes also focused on refining the backtesting framework to incorporate more flexible plot arguments and improved functionality.

pythonfinancestocksalgorithmic-tradinglines

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