Hello,
I'm Zach Angell.

Generating value for companies through data science and machine learning.

About

Data Scientist | Machine Learning Engineer

I'm a data scientist who loves working on real world problems that catch my interest. A few things I've worked on: a complaint identification model for gathering business intelligence on Twitter, a sentiment detection model to identify profitable trading opportunities.

I'm passionate about combining data science with my experience in Finance, Economics, and Software Development to generate valuable insights.

Previously, I worked for several years at FIS, a financial technology company, and studied Economics and Computer Science at Boston College. I have also passed Level I and Level II of the Chartered Financial Analyst exams.

Projects

A machine learning powered application for identifying social media complaints of your company's competitors.

I am an active contributor to popular open source Python libraries. Let me know if you have a project that needs work!

Open Source Contributions

Communication with colleagues and stakeholders is critical. Check out some of my writing samples on Medium.

Writing Samples

Find me and compete with me on Kaggle! I'm currently working on Jigsaw Unintended Bias in Toxicity Classification.

Data Science Competitions

Skills

Programming Languages

Python (Pandas, Numpy, SciPy, Scikit-learn, Keras), SQL, Scala

Data Engineering

Data Mining, Web Scraping, Data Cleaning, Feature Engineering

Databases and Technologies

SQL, MongoDB, AWS (Lambda, Sagemaker, RDS), Apache Spark, Docker

Descriptive Statistics, Hypothesis Testing, KNN, Linear Regression, Logistic Regression, Survival Analysis, Quantile Regression, Bias-Variance Trade-off, Model Validation

Machine Learning and Advanced Prediction

Unsupervised Learning, Natural Language Processing, Tree Ensembles, Neural Networks (TensorFlow, Keras)

Get in touch

Shoot me an email or find me on other platforms: LinkedIn & GitHub