RESUME-Zikai Lin
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Zikai LIN is a current M.S. student in Electrical Engineering at Columbia University with a 3.75 GPA. He has internship experience at IBM Watson Research Center working on deep learning projects including convolutional neural network compression and optical character recognition. He has also completed several course projects involving developing an Android app, RPG game language translator, and sensor data collection system. He is proficient in Python and has experience in C/C++, Matlab, Java, and other languages and tools.
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1. BCG has a monopoly on natural gas distribution in Busan, Korea, generating predictable cash flows. However, its stock price fell due to a one-time earnings decline and now offers upside.
2. BCG's intrinsic value exceeds its stock price, which fails to account for undervalued real estate assets.
3. The majority owner of BCG may fully acquire the company, unlocking its true value for shareholders.
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RESUME-Zikai Lin
- 1. Zikai LIN (917) 808-6963 | zl2442@columbia.edu | 19 W 103RD St Apt 402, New York, NY 10025 EDUCATION Columbia University, Fu Foundation School of Engineering and Applied Science New York, NY M.S. in Electrical Engineering, GPA: 3.75/4.00 Expected Dec.2016 Relevant Coursework: Analysis of Algorithm, Internet of Things, Android APP Development, Big Data Analytics Programming Language and Translator, Modeling & Performance Evaluation, Computer Networks Sun Yat-sen University(SYSU), School of Physics and Engineering Guangzhou, China B.S. in Physics, GPA: 3.83/4.00 Jul.2015 WORK EXPERIENCE IBM Watson Research Center New York, NY Deep Learning Research Intern May.2016-Aug.2016 • Participated in the convolutional neural network compression project and raised the idea of ISBP(Important Score Backpropagation) for reducing the redundancy of the CNN models. The new compression method reduced the different models’ size by 1.6× to 2.0× without loss of accuracy. • Participated in the Optical Character Recognition(OCR) and designed the character segmentation algorithm with Connected Component / Sobel edge detection. • Synthesized the OCR train data for more than 5 millions and trained the Convolutional Neural Network for recognizing the characters. PROJECT EXPERIENCE Columbia University New York, NY Coursework Projects Sept.2015-May.2016 • Built a tourism destination recommendation website based on Flask. The data were crawled from the Internet and analyzed using item based collaborative filtering(IBCF) with tags. • Developed an Android APP to monitor the CPU, memory and battery usage for every running process using Android Studio. The APP also provided kill process function. • Designed a RPG game language, which gives node function to help easily develop the story-line based game. Used OCaml to write the translator to translate the target game language to the Python code. • Implemented the Robot arm real-time control system by speech input or gesture in iOS APP, using Google speech API, Raspberry Pi, Xcode, Python. • Built the web server and connect the sensors on Raspberry Pi, collected the temperature and humidity data from sensors, stored data in MySQL database and displayed the data in Google Chart on fronted HTML page. Sun Yat-sen University Guangzhou, China Computer Vision Engineering Research Sept.2013-Oct.2014 • Improved running speed and robustness of the skin segment(mainly for hand) program in the 3D virtual keyboard using C/C++ and OpenCV. Shortened the running time by 28.27% and decreased the average error of finger recognition to less than 2%. • Implemented the two-dimensional GA(Genetic Algorithm) optimizing program using Matlab and C separately to adjust the Auto-Stereoscopic 3D display areas from heterogeneous to homogeneous. SKILLS Programming: Proficient in Python, experience with C/C++/Matlab/Java/Swift/OCaml Software: Experience with Caffe/Spark/Microsoft Office/GitHub/Vim/LaTeX IDE: Experience with Visual Studio/Matlab/Android Studio/Xcode/OrCAD Language: Native Mandarin and Cantonese, basic knowledge of Japanese