Technologies: Data science (ML, deep learning, regressions, recommender systems, etc), app / web development (Node.js / Ember.js, Python, C++/Java, etc - see below for more info), database development (Mongo, SQL, etc)
I am open to contract work in data science and app / web development. I know how to build data-driven systems.
Graduated #1 in financial engineering from Princeton, 5+ years of experience building and hacking systems from 0, started and built multiple VC-backed companies. Experience in building data science models and data driven systems in various industries, from finance (high frequency trading), to retail / e-commerce, biotech, and data management.
Development/hacking experience in C++ STL/Boost/Qt/Qwt, Python, Java, C#, R, MatLab, Awk/Bash, SQL, ODBC, JNI, TCP/IP, MongoDB, Django, HTML, CSS, JavaScript, Node.js, Ember.js, Elasticsearch, JQuery, D3, Bootstrap, AJAX, Unix, EC2, Eclipse, Visual Studio, Vi/Emacs, WinForms, Git, Hadoop, Condor, Caffe, Keras. Familiarity with Ruby on Rails and Backbone.js. Aware of Angular.js, Hive, Pig, Flume, Avro, Solr, Redis. Specific experience with pandas and scikit-learn.
Domain experience in Machine Learning, Algorithms, Statistics, Time Series/Econometric Modeling, Quantitative Analytics, and some Bayesian Statistics.
Technologies: Data science (ML, deep learning, regressions, recommender systems, etc), app / web development (Node.js / Ember.js, Python, C++/Java, etc - see below for more info), database development (Mongo, SQL, etc)
I am open to contract work in data science and app / web development. I know how to build data-driven systems.
Graduated #1 in financial engineering from Princeton, 5+ years of experience building and hacking systems from 0, started and built multiple VC-backed companies. Experience in building data science models and data driven systems in various industries, from finance (high frequency trading), to retail / e-commerce, biotech, and data management.
Development/hacking experience in C++ STL/Boost/Qt/Qwt, Python, Java, C#, R, MatLab, Awk/Bash, SQL, ODBC, JNI, TCP/IP, MongoDB, Django, HTML, CSS, JavaScript, Node.js, Ember.js, Elasticsearch, JQuery, D3, Bootstrap, AJAX, Unix, EC2, Eclipse, Visual Studio, Vi/Emacs, WinForms, Git, Hadoop, Condor, Caffe, Keras. Familiarity with Ruby on Rails and Backbone.js. Aware of Angular.js, Hive, Pig, Flume, Avro, Solr, Redis. Specific experience with pandas and scikit-learn. Domain experience in Machine Learning, Algorithms, Statistics, Time Series/Econometric Modeling, Quantitative Analytics, and some Bayesian Statistics.
Technologies: Data science (ML, deep learning, regressions, recommender systems, etc), app / web development (Node.js / Ember.js, Python, C++/Java, etc - see below for more info), database development (Mongo, SQL, etc)
I am open to contract work in data science and app / web development. I know how to build data-driven systems.
Graduated #1 in financial engineering from Princeton, 5+ years of experience building and hacking systems from 0, started and built multiple VC-backed companies. Experience in building data science models and data driven systems in various industries, from finance (high frequency trading), to retail / e-commerce, biotech, and data management.
Development/hacking experience in C++ STL/Boost/Qt/Qwt, Python, Java, C#, R, MatLab, Awk/Bash, SQL, ODBC, JNI, TCP/IP, MongoDB, Django, HTML, CSS, JavaScript, Node.js, Ember.js, Elasticsearch, JQuery, D3, Bootstrap, AJAX, Unix, EC2, Eclipse, Visual Studio, Vi/Emacs, WinForms, Git, Hadoop, Condor, Caffe, Keras. Familiarity with Ruby on Rails and Backbone.js. Aware of Angular.js, Hive, Pig, Flume, Avro, Solr, Redis. Specific experience with pandas and scikit-learn. Domain experience in Machine Learning, Algorithms, Statistics, Time Series/Econometric Modeling, Quantitative Analytics, and some Bayesian Statistics.
Technologies: Data science (ML, deep learning, regressions, recommender systems, etc), app / web development (Node.js / Ember.js, Python, C++/Java, etc - see below for more info), database development (Mongo, SQL, etc)
Résumé/CV: https://www.linkedin.com/in/brytonshang
Email: [email protected]
I am open to contract work in data science and app / web development. I know how to build data-driven systems. Graduated #1 in financial engineering from Princeton, 5+ years of experience building and hacking systems from 0, started and built multiple VC-backed companies. Experience in building data science models and data driven systems in various industries, from finance (high frequency trading), to retail / e-commerce, biotech, and data management.
Development/hacking experience in C++ STL/Boost/Qt/Qwt, Python, Java, C#, R, MatLab, Awk/Bash, SQL, ODBC, JNI, TCP/IP, MongoDB, Django, HTML, CSS, JavaScript, Node.js, Ember.js, Elasticsearch, JQuery, D3, Bootstrap, AJAX, Unix, EC2, Eclipse, Visual Studio, Vi/Emacs, WinForms, Git, Hadoop, Condor, Caffe, Keras. Familiarity with Ruby on Rails and Backbone.js. Aware of Angular.js, Hive, Pig, Flume, Avro, Solr, Redis. Specific experience with pandas and scikit-learn.
Domain experience in Machine Learning, Algorithms, Statistics, Time Series/Econometric Modeling, Quantitative Analytics, and some Bayesian Statistics.