Mohammed Emtiaz Ahmed 832-***-****
addscv@r.postjobfree.com
Github: https://github.com/emtiaz-ahmed, LinkedIn: https://www.linkedin.com/in/mohammed-emtiaz-ahmed/ EDUCATION
University of Houston Houston, TX
PhD in Computer Science July 2020
• Research Skills: Data science, Data visualization, and Data management
• Thesis: Predicting Brain Science Advances Through ML/Statistical Modeling of Cross-disciplinarity
• Graduate Coursework: Statistical Methods, Machine Learning, Deep Learning, NLP, Database Systems, Algorithm and Data Structures, Programming Paradigm, Ubiquitous Computing Khulna University of Engineering & Technology Bangladesh Bachelor of Science in Computer Science & Engineering June 2012 EXPERIENCE
Computational Physiology Lab, UH Houston, TX
Research/Teaching Assistant August 2015 – Current
• Analysis the impact of collaboration in cross-disciplinary sciences (NSF Project)
• Implemented scalable and compact visualizations
• Mentored 1 under-grad and 1 grad student
• Instructed and graded Statistical Methods in Research, Algorithm and Data Structures, Intro to Computer Science, and Ubiquitous Computing courses
Kellogg School of Management Evanston, IL
Research Intern June 2019 – August 2019
• Designed and Developed a web based analytical reporting tool ScholarPlot(SP), a team science tool
• Redesigned the interface and Improved the performance of the product (~5 times faster) Samsung Electronics, SRBD Bangladesh
Software Engineer July 2012 – May 2015
• Analyzed and fixed more than 300 critical base problems of Samsung flagship smartphones and tabs
• Developed features: Dynamic lock screen, Wallpaper picker, and Emergency Launcher
• Modified existing software to correct errors, upgrade home screen interfaces and improve performance
• Communicated effectively with testing teams to ensure software solutions elevated user side experience PROJECTS
• ScholarPlot: web based analytical reporting tool. Some universities are using this tool for hiring and review pur- poses. Python, Php, JavaScript, D3.js, SQL [http://scholarplot.com/]
• Analyzed cross disciplinary impacts in genomics. Python, R, statistics, cross-sectional & Panel modeling
• Analyzed cross disciplinary impacts in brain science. Python, R, statistics, cross-sectional & Panel modeling
• Fraud Detection (Kaggle competition). Python, deep learning, PyTorch, machine learning models
• Article Clustering : Cluster articles using unsupervised algorithm. NLP, Kmeans, PCA, tSNE
• Spam Detection (course project): Classify emails based on content. NLP SKILLS
• Advanced: Python, R, SQL . Intermediate: Java, C++, Swift for iOS
• Machine learning Tools: PyTorch, Keras, scikit-learn, nltk, pandas
• RStudio, Tableau, Eclipse, XCode, IntelliJ, Visual Studio, Gephi, MySQL, Jupyter notebook AWARDS
• Data Scientist track(From Datacamp Career track) [24 courses]
• Grant[EAGER: From Genomics to Brain Science (SMA-1738163)], Role: Research Assistant, Sponsor: NSF
• SciTS scholar: Awarded scholarship from the SciTS’2019
• University Excellence Award (2008-2012). Graduate Tuition Fellowship (2015-2020) PUBLICATIONS
• “Cross-disciplinary evolution of the genomics revolution,” Science Advances Journal, August 2018
• “Scholar Plot: Design and evaluation of an information interface for faculty research performance,” Frontiers in Research Metrics and Analytics Journal, January 2020