Daniel Fan

Available Remote

I have 3 years of research experience in machine learning and 3 years of industry experience in delivering advanced analytics.

  • Seattle, WA
  • 7 Years Experience
  • danielfan
Worked With
Fonterra National Taiwan University (ntu)/台灣大學 The University of Auckland
Skills
Pandas Javascript Stakeholder Management Project Management Data Science Consulting R Programming Keras Tensorflow Tableau AWS Numpy Optimization Python MATLAB Machine Learning Deep Learning SQL Engineering Problem Solving Writing Classification
Resumes
daniel_fan_resume.pdf
[Daniel][Fan]Resume.pdf
[Daniel Fan]Resume.pdf
Links
Projects

Comparison of Vocal Tract Shape Modelling Methods - MRI vs AR

• Reconstructed 2D images obtained from magnetic resonance imaging into 3D structural data. • Created MATLAB graphical user interface to import vocal tract s...

Oct 17, 2017

Comparison of Vocal Tract Shape Model...

by Daniel Fan

Evolution of Echo State Networks - Master Project

• Investigated Echo State Networks’ (ESN) abilities to predict time-series data of varying complexity. • Identified the effects of neural network size, level...

Oct 13, 2017

Evolution of Echo State Networks - Ma...

by Daniel Fan

Finding Donors for CharityML with Supervised Learning

• Constructed Support Vector, Naïve Bayes and Decision Tree classifiers to identify likely charity donors from census data in Python. • Optimized the decisio...

Oct 13, 2017

Finding Donors for CharityML with Sup...

by Daniel Fan

Creating Customer Segments with Unsupervised Learning

• Investigated unstructured data for patterns and the categories they fall into using Principal Component Analysis (PCA). • Applied an gaussian mixture model...

Oct 13, 2017

Creating Customer Segments with Unsup...

by Daniel Fan

Train a Smartcab to Drive with Reinforcement Learning

• Designed a Q-learning algorithm in Python that trained a simulated car to follow US traffic rules. • Implemented learning rule to take effect within 28 tr...

Oct 13, 2017

Train a Smartcab to Drive with Reinfo...

by Daniel Fan

Classify cancer with cytological data

• Built a decision tree classifier in Python to predict whether biopsied cells are malignant or benign with 97% accuracy.

Oct 13, 2017

Classify cancer with cytological data

by Daniel Fan