DUONG

NGUYEN

Houston, TX *****

206-***-****

adij98@r.postjobfree.com

Github: https://github.com/dnguyen7667

EXPERIENCE AND COURSEWORK PROJECT

Data Analyst and Software Developer University of Houston Aug 2019 - Current STUDENT SUCCESS INITIATIVE PROJECT

• Designed and implemented automatic end-to-end Machine Learning project that that helps predict students’ performance. The program extracts and flows data automatically between SQL Server, Python Environment and Google Cloud Platform. Data is then properly aggregated and cleaned to use to train classification and regression models to give predictions of students’ performance on upcoming test. The models help correctly predict at least 92% of low performers.

• Providing informative reports to management team with visualizations of key findings and classification results that helps them improve the ability to look for which students are at risks at failing an upcoming test thus timely guidance and suggestions can be given to those students.

• The predictive results is scheduled to automatically send days before test to students who are predicted to underperform so they could prepare better in their upcoming test. EMAIL REMINDER PROJECT

• Designed a deployed the first program that connects to SQL Server to generate students’ data and send reminder emails to students that have not taken quizzes. The program is scheduled to automatically send out reminder emails.

Both programs benefit thousands of students enrolled in CASA Courseware - UH’s internal testing application. Mathematics Tutor University of Houston Jan 2018 – May 2019

• Tutored and simplified concepts from different levels of mathematics including Calculus, Linear Algebra, Statistics, Differential Equations and Numerical Analysis. Averagely students had 15-20% boost in grades at the end of semester.

Related coursework projects:

• Convolutional Neural Network: Implemented Support Vector Machine, KNN, neural network together with optimization and regularization algorithms from scratch mostly using numpy.

• Data Mining: Implemented and utilized SVM, KNN, Random Forest and other Machine Learning algorithms on Fashion MNIST with accuracy up to 99%.

SKILLS AND ABILITIES

Programming: Python, R, Java, C++, SQL, Pyspark, Hive, Sqoop, Git, Linux, Tableau. Frameworks: Hadoop, Tensorflow, Spark, Keras, scikit-learn, matplotlib, numpy, pandas, seaborn, selenium. Cloud Technology: Google Cloud PlatformMS Azure, AWS, Databricks. EDUCATION

Master’s of Science in Statistics and Data Science University of Houston Aug 2019 – Dec 2020 GPA: 3.95

Bachelor’s of Science in Computer Science University of Houston Aug 2017 – May 2019 GPA: 3.71

Relevant Coursework: Advanced Machine Learning, Multivariate Statistics, Statistical Methods in Data Science, Digital Image Processing, Convolutional Neural Network, Data Mining, Big Data Analytics, Software Design, Database Systems, Algorithm.