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MS in computer science

Location:
Santa Cruz, California, United States
Posted:
February 20, 2018

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Arghyadeep Giri

*** ****** ******, **** *, Santa Cruz, CA - 95060 +1-831-***-**** ac4ju2@r.postjobfree.com Research Interests:

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

BACHELORS JULY 2015 UNIVERSITY OF CALCUTTA

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:

TEACHING ASSISTANT UCSC OCT-2016 - PRESENT

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). https://github.com/Arghyadeep/Image-Colorization-using-CNN 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. https://github.com/Arghyadeep/Dialogue-Corpus-Building-for-Chat-Bot-Systems 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. https://github.com/Arghyadeep/Machine-learning-UCSC



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