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Hello, I'm Sierra!

Linkedin: scostanza

My Skills

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Full-stack web development

  • Javascript
  • Typescript
  • Node.js
  • React
  • HTML, CSS
  • Express.js
  • SQL

DevOps

  • Git
  • AWS serverless architecture (Cloudformation, Lambda)
  • CircleCI
  • Docker
  • Heroku

Data engineering

  • Python
  • Bash / shell scripting
  • Redis
  • AWS (EC2, RDS, Step Functions, Lambda, S3, etc.)

Analytics and data visualization

  • Machine Learning (supervised classification, not deep learning)
  • Hypothesis testing
  • R
  • d3.js
  • Tableau
  • Google Apps Script
My github stats

Past Projects

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Name Description Languages/Tools Repo/link
Machine Cleaning A machine learning pipeline built to correct government (E-rate) form fields to aid in data cleaning Python, scikit learn https://github.com/sierra073/esh-machine-cleaning
K-12 Bridge to Broadband A secure site helping states and school districts map and connect students who do not have access to sufficient internet at home React, Node.js/Express, Auth0, SQL, AWS https://map.educationsuperhighway.org/
Connect K-12 Provides school district leaders with internet price transparency and insights they can use to upgrade their bandwidth and reduce costs React, Node.js/Express, Python, SQL, AWS https://www.connectk12.org/
Annual Report Digital Experience A website for ESH's 2018 State of the States Report including animated charts d3.js, React https://stateofthestates.educationsuperhighway.org/
Google Sheet insights tracker Automatically executes scripts (written in Python, R or SQL) used to generate metrics for ESH's State of the States Report and displays the metrics in a Google Sheet Python, Bash, CircleCI https://github.com/sierra073/gsheet-service-layer

Sierra's Projects

curriculum icon curriculum

The open curriculum for learning web development

diseaseriskfactors icon diseaseriskfactors

Evaluated and compared trends of disease risk factors in different socioeconomic position groups in Geneva, Switzerland based on data collected from 1993 to 2004

forestcovertypes icon forestcovertypes

Final Project for Fall 2013 JHU Data Mining course. Used various classification algorithms for predicting forest cover types from cartographic variables.

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