Portfolio: eLearning & Data Science
A leadership consulting firm needed an engaging app. This “Random Quote” generator was created and implemented. Engagement on the website increased quickly. Created with HTML, JavaScript and CSS.
This app is easily customizable and designed to improve engagement on any website or platform.
This Phrase Game is similar to the game show, “Wheel of Fortune.”
Designed to be customize for any client. This engaging app combines ed tech research and web development using HTML, Javascript & CSS.
This module is a part of a Higher Ed Health Care program. After a thorough needs analysis, the required competencies, learning outcomes, objectives, lessons, teaching resources and assessments were designed.
The development was completed in a professional studio with actors, voice-over talent along with the use of HTML, CSS, JavaScript, Adobe Premier, Illustrator, Photoshop, Captivate, Articulate Storyline, VO talent and other tools. After several iterations with UI tests and focus groups, the app successfully launched in a LMS.
Python and related libraries were used to generate machine learning models that analyzed the Portugese Banking data from UCI.
Exploratory Data Analysis (EDA) was used. Trained the data and applied feature engineering to find client characteristics of those most likely to purchase additional bank products. Gain insights through descriptive statistics, data visualizations, H2O.ai to improve model performance. This classification problem was approached with Decision Trees, Random Forests, Naïve Bayes Classification, Neural Networks and Logistic Regression. Details are found in this Medium.com article.