I am working hard to prove myself as a datascientist on the side while working at Fresenius Medical Care. My two most recent accomplishments have been in the field of object detection and supervised learning, but I also excel at unsupervised learning and visualization. I have a 4.0 so far at Stanford, but am much more proud
I am working hard to prove myself as a datascientist on the side while working at Fresenius Medical Care. My two most recent accomplishments have been in the field of object detection and supervised learning, but I also excel at unsupervised learning and visualization. I have a 4.0 so far at Stanford, but am much more proud of the specific projects I have built over Fall 2014- now.
My project from supervised learning which I am very passionate about is summarized here: http://cs229.stanford.edu/proj2014/Lee%20Tanenbaum,Methodology%20for%20Sparse%20Classification%20Learning%20Arrhythmia.pdf
and my object detection project can be found here for now: https://drive.google.com/open?id=0B-5TH5xfgrrgSGtPYnQxc2FPdkE&authuser=0
R&D Software Engineer @ Develop future software designs for FMC products From May 2011 to Present (4 years 8 months) Machine learning/Computer vision Consultant/Contractor @ Contract work in the field of Machine learning and Computer vision. I designed both an algorithm and complicated data storing structure, then implemented and refined the algorithm. The company plans to develop the server internally based on my work. From January 2015 to April 2015 (4 months) SEO Engineering Intern @ I started by creating tools to control product feeds in more in depth ways and to measure data from its revenue as well as other side projects such as creating a link checker because the version we were paying Google for was not able to handle our magnitude of web page links.
I finished off the internship by directly increasing company profit in product feeds to more than its holiday season amount by using my tool to analyze our data and manually implementing changes. From January 2011 to April 2011 (4 months) Process Optimization Engineer @ Project management job by assignment which I took in a process optimization direction. I was assigned groups of D&R(design and release) engineers to manage sections of vehicles in the digital design phase. I spent most of my time automating engineering work, ultimately creating three major projects that I used to increase efficiency and and accuracy of the engineers that I supervised as well as many other Ford Engineers.
I also worked a brief period as a D&R engineer for ambient lighting, a new feature at the time, where I helped redesign future implementations of the electrical sync structure. From May 2010 to August 2010 (4 months)
Graduate Certificate, Artific, A @ Stanford University From 2013 to 2015 BS, Electrical Engineering and Computer Science @ University of California, Berkeley From 2007 to 2011 Lee Tanenbaum is skilled in: Matlab, Python, Java, SVM, C, Data Visualization, Classification, Unsupervised Learning, Real Time Monitoring, Computer Vision, Object Detection, Neural Networks, Hidden Markov Models
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