Houston, TX, ****4
ShailaZaman
******.*******@*****.***
github.com/Shaila96
linkedin.com/in/shaila-zaman
Employment
Teaching Assistant University of Houston Fall 2017 – Spring 2020
• COSC 4337 - Data Science II: Instructed practical classes on EDA (seaborn), scikit-learn alg., Keras, PyTorch
• COSC 6355 - Ubiquitous Computing: Instructed iOS app development hands-on course. Swift, Xcode Research Assistant Computational Physiology Lab Spring 2019 – Summer 2019
• Developed probabilistic estimation method of the participant’s emotional mix from the facial video. Keras, R
• Developed automated methods for curating, syncing, processing, and performing statistical analysis of the multi- modal data set (e.g. physiological, psychometrics, performance, and facial expression data.) (Grant # IIS-1704682) Software Engineer Therap Services, LLC Apr. 2012 – Sep. 2015
• Developed features on ISP, OSP, Slot Activity modules in Therap Central & ND Product. Groovy & Grails
• Developed modules for the student competition system organized by Therap. Java, Spring, MySQL, Bootstrap
• Implemented a generic data importing framework to import model-based data from excel to the product database, this allowed new providers to migrate the existing data directly to Therap system. Java Projects
• Connect X (2020): Intelligent Agent using heuristic methods. Ranked in top 10% in Kaggle
• Publication Count (2020): (Python Package) Fetch publication contents data from altmetric api.
• Minesweeper (2020): Puzzle game of finding hidden mines without denoting any. Python, Tkinter, TDD
• Email Classification (2020): Detect spam emails based on content. NLP, Random Forest
• Fraud Detection (2019): (Kaggle Competition) Detect fraud payment transactions. Public ROC score 0.95
• SubjectBook (2019): Web-based visualization tool for multi-modal data-set. Django, D3.js, JS, HTML Languages and Technologies
• Advanced: Python, R, MySQL, Swift, Intermediate: JavaScript, C/C++
• Django, D3.js, jQuery, Keras, Git, RStudio, XCode, IntelliJ Education
Houston, TX University of Houston Fall 17 – Spring 2022(exp.)
• Ph.D. candidate in Computer Science. CGPA: 3.96
• Coursework: Statistical Methods in Research, Machine Learning, Artificial Intelligence, Numerical Analysis Dhaka, Bangladesh Bangladesh University of Engineering & Technology 2007 – 2012
• B.Sc in Computer Science & Engineering. CGPA: 3.45
• Coursework: Data Structures, Algorithms, Database, Operating System, Software Design, etc. Publications
• Blank, C, S Zaman, AWesley,P Tsiamyrtzis, DC Silva, R Gutierrez-Osuna, G Mark, and I Pavlidis (Apr. 2020). Emotional footprints of email interruptions. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. CHI’20. [Acceptance Rate: 24%]
• Zaman, S, AWesley,DC Silva, P Buddharaju, F Akbar, G Gao, G Mark, R Gutierrez-Osuna, and I Pavlidis (Nov. 2019). Stress and productivity patterns of interrupted, synergistic, and antagonistic office activities. Scientific Data 6, 264. [Journal Impact Factor 5.929]
Additional Experiences and Awards
• Scholarships: Grace Hopper Celebration 2019, Tapia 2020, Grad Cohort 2021, GTF (2017-Present)
• Awards: Outstanding PhD Student 2020, Computer Science, University of Houston
• Competitions: Successfully participated in Google Hash Code 2020, Kick Start 2020, Connect X - Kaggle
• Mentorships: Mentored NSF granted REU (Research Experiences for Undergraduates) student, Summer 2018-2020