MOHAMED ABDUL HUQ ISMAIL

*** * *** ****** #*** • Tempe, AZ 85281 • 480-***-**** • acs57y@r.postjobfree.com SUMMARY

Software engineer with interests in Data Science, Software Development and Web Application Development; hardworking, collaborative team player seeking an internship opportunity to build a career in Software Development EDUCATION

Master of Science, Computer Science Spring 2017

Arizona State University, Tempe, AZ

Major GPA: 3.56

Bachelor of Technology, Information Technology Fall 2015 Anna University, Chennai, TN, India

Major GPA: 3.6

TECHNICAL SKILLS

Programming Languages: C, C++, Java, Python, Ruby

Web Technology Languages: JavaScript, HTML, CSS, PHP Database and Servers: MS SQL Server, PostgresSQL, MongoDB, Apache Tomcat Server Software Tools: Apache Hadoop, Apache Spark, MS Visual Studio 2012, Matlab Operating Systems: Windows 7, Windows 8, Windows 10, Ubuntu 14.04 CLASS PROJECTS

Geo-Spatial Operations using Hadoop and Apache Spark (5 Member Project) Fall 2015

Implemented geo-spatial operations in a distributed environment using Apache Hadoop’s distributed file system (hdfs) and Apache Spark’s map-reduce technique to perform operations in cluster.

Geo-spatial operations include Polygon Union, Convex Hull, Closest and Farthest Pairs, Spatial Range Query and Spatial Join Query.

An application was developed using Spatial Join Query called Spatial Aggregation which functioned similar to a heat map. The performance of the operations was evaluated using varying cluster sizes of 1, 2 and 4 nodes.

I was responsible for convex hull implementation, few modifications of spatial join query and the implementation of spatial aggregation application.

Diffusion Decision Making for Adaptive kNN Classification (2 Member Project) Fall 2015

Implemented diffusion decision making using adaptive knn classification in Matlab.

The idea was taken from a paper “Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification” that was published in NIPS conference in 2012.

Adaptive knn makes use of a confidence level and takes a decision only when the confidence level is reached whereas knn classifies the class based on a static nearest neighbor value.

The performance of our implementation was compared with the performance in the paper.

Dispensary Record Management System (4 Member Project) Spring 2014

Developed a stand-alone application in Java to store records of patients in Microsoft SQL Server 2005 DB.

The application was used by the college dispensary to store records and retrieve data based on the query issued to the database using Java forms.

Quiz Application Spring 2013

Developed a quiz application using PHP to create forms.

A database was maintained for retrieving questions, answers and the users’ input.

Results were computed and stored in a separate table and retrieved to shortlist contestants during technical symposium held by Information Technology department.

The application was published on a local server using Apache Tomcat. COURSEWORK

Distributed and Parallel Database Systems; Fundamentals of Statistical Learning and Pattern Recognition; Data Structures and Algorithms; Service Oriented Architecture; Software Testing; Database Management Systems www.linkedin.com/in/abdulhuq

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