Graduate Student at Arizona State University Actively seeking intern

Arpan V Patel

480-***-**** • *************@*****.*** • linkedin.com/in/arpanvpatel

EDUCATION

Master’s in Computer Science Expected Graduation-May 2020 Arizona State University, Tempe, Arizona 3.67/4.00 Bachelor’s in Computer Engineering August 2014 - June 2018 Government Engineering College, Gandhinagar, India 8.11/10.00 TECHNICAL SKILLS

Programming Language: Python, Java, C, C++, .NET

Frameworks/Libraries: NumPy, matplotlib, TensorFlow, Spring MVC, Hibernate, Java collections Framework(JCF), Ajax, jQuery, Bootstrap, OpenCV

Software: PyCharm, Eclipse, NetBeans, SQLyog, MS Visual Studio, SQL Server Other: Draw.io, Microsoft Visio

Certifications: Certification in JAVA, C, C++ and Multilingual Office Automation from C-DAC (Government of India) PROFESSIONAL EXPERIENCE

SoftVan Limited August 2017 - March 2018

Collaborated in a team to design and develop a website on computer intelligence-based e-commerce.

The main purpose was to deal with the problem of finding a similar kind of cloth using a picture of a cloth.

Used Spring framework (Java) in developing the portal and Python for implementing the main components of the project.

Graduate Teaching Aide January 2019 - Ongoing

Serving as a Teaching Aide of Physics 122 under Dr. Darya Dolenko. Teaching students various practical applications of the theories that they study in Physics 121.

ACADEMIC PROJECTS

Autoencoders August 2018 – November 2018

Implemented de-noising autoencoder with different number of nodes in the hidden layer using python.

Developed stacked autoencoder in which the autoencoder was trained layer by layer in unsupervised manner and with different number of hidden layers.

Evaluated the performance of autoencoder for different number of layers, noise and learning rate to observe and understand the effect of the different parameters. Activity Recognition Using Myo Gesture Armband August 2018 – November 2018

Attempted to develop a computing system that can understand human activities and can solve different aspects such as identifying known and unknown activities and segment sequence of activities.

Constructed dataset using the data collected from the armband and applied Principle Component Analysis (PCA) for feature selection.

Precision, recall and F1 scores were calculated and compared using Support Vector Machine(SVM), decision tree and neural networks in matlab.

Intelligent Pacman Project August 2018 – November 2018

Implemented particle filtering, alpha-beta minimax, expectimax and search algorithms like DFS, BFS and A*.

Applied reinforcement learning algorithms like value iteration and Q-learning to train the pacman agent for better performance.

BookOnn August 2017 – November 2017

Led the team to design and develop a website for hotel booking, bus booking, and event booking.

Used HTML, CSS, and bootstrap for developing the website.

Worked on deciding the flow of the project to improve the team efficiency and decrease the development time.

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