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MS in computer science

Santa Cruz, California, United States
February 20, 2018

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Arghyadeep Giri

*** ****** ******, **** *, Santa Cruz, CA - 95060 +1-831-***-**** Research Interests:

Analysis of Algorithms, Machine Learning, Deep Learning, NLP, Image Processing Education:


Double Major: Computer Science and Physics

Related coursework: Analysis of Algorithms, Soft Computing, Machine Learning, Business Intelligence MASTERS SEP 2016 - PRESENT UNIVERSITY OF CALIFORNIA, SANTA CRUZ Major: Computer Science

Related coursework: Machine Learning, Advanced Machine Learning, Data Mining and Business Analytics, Information Retrieval and Knowledge Management, Conversational Agents, Bayesian Inference, Deep Learning Seminar, Programming languages, Data Visualization. Technical Skills:

PROGRAMMING LANGUAGES: Python(fluent), R(fluent), Java, C, MATLAB, Octave, HTML, CSS, JS, SQL LIBRARIES AND SERVICES: MySQL, Java Swing, Android Studio, Amazon MTurk(BOTO), AWS MACHINE LEARNING/DATA MINING: TensorFlow, Numpy, Scipy, Pandas, Scikit-Learn, NLTK, Weka Experience and Research work:


Assisted students to build models on static and dynamic demand forecasting, design supply chain networks and design aggregate project planning on various datasets. RESEARCH WORK:

“Stock market price prediction using Pattern Matching and Linear Regression” – ICSCTET 2014.

“Binary Document Classifier Using Artificial Neural Networks” – C.U 2015. Certifications:

Machine Learning (Stanford University) Coursera – Statement of Accomplishment, September 30, 2014. Oracle Certified Professional, Java SE 6 Programmer, with 86 % score. - March 23, 2015. Projects:

IMAGE COLORIZATION USING CONVOLUTIONAL NEURAL NETWORKS Trained a 7-layer CNN to produce RGB channels for 256232 LAB color space images (produced via OpenCV from original images). CREATING DIALOGUE CORPUS WITH AMAZON MECHANICAL TURK Created a Database of Dialogues for chat-bots which are logically connected at some level for creating ability to continue conversation with human. TWEET CLASSIFIER USING LSTM

LSTM Neural Net that takes the sequence of words in each text rather than a “bag of words” approach and classifies tweets by Hillary or Trump.

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