I have written a manual "cook book" on the topic of Multivariate Statistical Analysis using R. The book focuses on PCA and other related techniques such as BADA, MCA, DiCA, PLSC, MFA, CA, and DiSTATIS. This book was an integral part of my work during my Masters in Applied Cognition and Neuroscience - Specialized in Computational Modeling & Intelligent Systems.

Instructed a workshop on web scraping using Python packages such as Beautiful Soup, Selenium, and XPath along with brief introduction on HTML, CSS, and real-world live demonstration. This event was part of the University of Texas at Dallas's BALC Spring 2021 Workshop Series.

In this ML coding tutorial, we will explore all classic classification techniques and a soft intro to Advanced data sampling using FIFA 22 - a popular football game - players' data. The goal is show an end-to-end ML project that encompasses data processing (how to clean and deal with missing data), model building (scikit-learn, python to design and perform classification model), data visualization (how to visualize our model performance & behaviors), data sampling (techniques and tips to deal with unbalanced labelled dataset).

A portfolio website is vital to showcase your skills and who you are to a potential employer. In this tutorial, I will show you how I built my portfolio website with Google Site and embedded HTML. Then, I will show you how this portfolio website is integrated with Google Analytics, how I utilize the power of analytics to track visitors and land interviews.

Completed SAP Virtual Technical Consulting Program in Summer 2021. Processed, analyzed, and visualized data using SAP Analytics Cloud. Insights extracted identify customers' pain points for their product rollout in the US.  Data included NPS - Sentiment data, geographical data, sales finalization, and revenue/returns. [All data is masked to comply with SAP policy]

Conceptualized and built complete analytic product including dashboard, time series analysis, and detail views of the data using SAP Analytic Cloud. The asset is designed to cater to Vice Presidents and Account Executives at SAP - SMU to track Partners' activities and identify new opportunities. Thanks to Karianne, a SAC consultant from Analysis Prime, for her assistance and guidance. [All data is masked to comply with SAP policy]

As my internship at SAP is reaching the half-way mark, I would like to share my experience with you all in this short post. I hope this post can help you find and land your dream internship...

The project completes EDA, visualization, ML model, NLP analysis, and a simple recommendation bot based on the dataset provided by Yelp. Due to limited computational power and the desire to share our work, we have performed all analyses on a Google Colab machine. We have included our full report on problems, methodology, and findings in both Word text and Presentation format.

Deprecated - Research Project as part of the M.S. in Applied Cognition and Neuroscience. I collaborated with fellow psychology PhD students to assess the use of ML in America Sign Language training. The goal was to build a real-time ASL interpreter to assist with ASL training for the public. You can find the code and full paper below.