ABOUT ME

Hi! My name is Xinye (Estella) and I am a software engineer.
I am passionate about coding and problem solving!

Xinye Jiang

I recently got my master degree in Electrical & Computer Engineering from Carnegie Mellon University. I am most experienced with Java, JavaScript, Python and SQL. I also have some experience with Hack, C++, and C.
I have a Bachelor degree in Statistics from the Department of Mathematics at Nanjing University and a Master degree in Statistics at University of Michigan. These two degrees have laid a solid foundation for me in Mathematics and Statistics.
I have some full-stack development experience. I can also communicate with both non-technical and technical coworkers effectively and efficiently, which is developed through my previous working experience.

About Life

I am a game lover. (sudoku / Overcooked / Zelda / ...) In the Nintendo game Animal Crossing, I turn out to be a real wasp catcher.(lol)
I love food and am always ready to try something new.
Travelling is also an important part of my life. I enjoy still life photography and hiking.

MY SKILLS

Programming

Java (JavaFX), JavaScript (React), Python (Pandas, PySpark, Hadoop, Scikit-learn, Matplotlib), SQL, Hack, PHP, Bloks, CSS, HTML, C, C++, TypeScript, R (dplyr, ggplot2), SAS, Stata

Software Development

Data Structures, Testing, Debugging, Data Acquisition and Processing, Exploratory Data Analysis, Supervised/Unsupervised Machine Learning, Data Visualization

Soft Skills

Teamwork (Pair-Programming), Effective Communication, Problem-solving, Quick Learning, Detail-oriented

Language

Chinese
English

MY WORK

For work other than machine learning and data analysis, please contact me for permisson due to school policy :)
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Gesture Recognition Analysis

Applied exploratory data analysis (EDA) and supervised machine learning models to predict gestures.
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Heart Disease Prediction Study

Consulted papers and implemented algorithms to fit Bayesian Logistic Regression (LR) to little clinic patient data.
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Hypertension Classification

Performed machine learning classification methods and adjusted the decision threshold of the recall-oriented macro F_beta to identify more hypertensive patients.
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Academic Paper Classification (Kaggle Competition)

Determined the domain of academic papers published in top AI conferences using TFIDF, train-test split, cross validation and machine learning algorithms.
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Tutorial for Parametric and Nonparametric ANOVA

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Movie Analysis

Used PySpark (Python), data.table operations and ggplot2 (R) functions to discuss some topics regarding movies.
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Medication Effectiveness Analysis (Nonparametric)

Applied non-parametric statistical analysis to determine the effectiveness of a medication at reducing allergic symptoms.

CONTACT ME