Zannatul Firdous

**** ****** ******, *** ***, El Cajon, CA, 92020; 951-***-****; ac9v8y@r.postjobfree.com EDUCATION

M.S. in Computer Science May 2019

University of Memphis, TN

B.S. in Computer Science & Engineering Feb 2013

Bangladesh University of Eng. & Tech

SKILLS

Programming:C, C#, C++, PHP, Python, Ruby,JavaScript, JQuery, Ajax, Shell Scripting

Database Management System:MySQL, Oracle, Neo4j, MongoDB

Graphical Interface:OpenGL, iGraphics

Tools:Splunk, Microsoft Word, Microsoft Excel,MATLAB, CGAL

Website Designing:HTML, HTML5, CSS3, CSS5

SELECTED EXPERIENCE

Machine Learning Lab, Graduate Student Researcher, University of Memphis, TN Aug 2018 - May 2019 o Designed the crime prediction model for Memphis police department o Collected data from different areas of Memphis, TN o Analyzed the data using different machine learning algorithm and predicted the crime rate Graduate Teaching Assistant, University of Memphis, TN Aug 2017 - May 2019 o Graded and taught “Database Process & Design” in Spring 2018 & 2019, Fall 2017 & 2018 o Co-advised 82 undergrad students in database project design in Fall 2018 and Spring 2018 Summer Intern, UMRF Ventures Inc., TN Jun 2018 - Aug 2018 o Completed training of FedEx QDM and EPDSM

o Analyzed and presented user generated data

o Perform data onboarding and visualization using Splunk o Worked as a shift lead of a group of 6 persons

Software Engineer,Samsung R&D Bangladesh Dec 2013 - Aug 2014 o Worked with Tizen SDK (both native and web platform) and Dynamic Animation Library (DALi) User Interface APIs, Tizen Compliance Test (TCT Native) project o Maintained Developed Game application “Pistol Ball” for Tizen OS based Smartphone o Generated & presented several Ideas for smart phone Software Engineer, CloudlyIO Mar 2013 - Nov 2013

o Designed and implemented website development projects “olc” “opentok” and “seeTravel” etc. using PHP, MySQL, JavaScript, Ajax, Python, Drupal

o Evaluated the performance of the above project

SELECTED PUBLICATIONS & PRESENTATIONS

o Firdous, Z.; Humaira, N.; Bushra, N.; Curvelet feature based fingerprint recognition: Using Fourier enhancement. 2nd International Conference on Informatics, Electronics and Vision, 2013, IEEE, pages 1-6, Dhaka, Bangladesh, 2013