Digital Business Strategies

Lessons Learned:
1. Digital Strategy; How digital platforms function, and generate revenues by providing intangible services
2. Customers, First; By focusing on understanding, supporting, and advancing a customer’s needs, all else will follow
3. Undergraduate Studies; I want to become both a business strategist, and computer scientist (done!)
Key Products - Case Studies: Both include recommendations for product pivots, new products, and go-to-market strategy for new products.
1. OpenTable Case Study
2. Uber Case Study

eSports

Lessons Learned:
1. Industry Analysis; What eSports are, and the role of each stakeholder within this landscape
2. Operational Success; Sharing data through partnerships helps partner firms, and target customers, alike
Key Products - Based on work with Nielsen Sports, under Professor, and SVP Stephen Master:
1. eSports Landscape White Paper; Assessment of the eSports landscape to allow Nielsen to grow new businesses
2. Nielsen Partnership with Super League Gaming; Recommending how Nielsen Sports, and SLG can gather eSport player and fan data to understand, and serve them better through, and outside of specific games

Natural Language Processing

Lessons Learned:
1. TFIDF Vectors; Retrieve results whose relationships among their terms are similar to those of your search query
2. POS Tagging; Probabilistic POS tagging helps narrow down the POS that a term is within a statement more easily than manually defining rules until a term has one specific POS prescribed to it by elimination
3. Sentiment Analysis; Must include non-formal expressions of speech (e.g. emoticons) to analyze informal contexts
Key Products: Python scripts applying statistical models, and corpus training theories taught in class using textual datasets shared by Brown, and Stanford NLP research groups. Final project proposes specialized techniques to improve sentiment analysis in non-prescriptive grammatical contexts by comparing automated, legacy analyses with those which include different permutations of emoticons. Please contact me if you would like to discuss these projects further; code will remain private to encourage academic integrity.

Data Structures & Algorithms

Lessons Learned:
1. New Language; How to code in Java by manually implementing native functions, and data structures
2. Data Organization Principles; How to build a digital object that stores information, sort objects, and search objects
3. Undergrad Program Structure; This course should be taught in coordination with, during the same semester as Basic Algorithms! I learned about data structures, and applicable search algorithms better by diving into these courses at the same time.
Work Overview: Java-based software programs that develop data structures by using primitive Java library functions to demonstrate correct understanding of (1) different data structure properties, and (2) behaviors of these data structures.
Projects:
1. Customer Service Analysis; implemented, and used Linked Lists to evaluate wait times, break times, and the number of customers served
2. Modeling Community Relationships; implemented a Binary Search Tree, and search algorithms to evaluate relationships within a community whose data exist in a text file
3. Merge-, and Quick-Sorting; implementing an Interface, and two sorting algorithms
4. Recursive Binary Search; implementing binary search algorithm that traverses through arrays

Database Design & Web Implementation

Lessons Learned:
1. Data Availability; Open sources of historical data should be more available to students (at the very least)!
2. Database Implementation; How to build a database application using MySQL, and PHP
3. Data Visualization; How to scrape, ingest, scrub, and visualize information using Python
Key Projects: Python, and PHP scripts that use SQLite to ingest, sanitize, structure, and analyze unstructured data across public, and private industries to provide quantitative analysis to otherwise seemingly static files, and content. Please contact me if you would like to discuss these projects further; code will remain private to encourage academic integrity.

Web Design & Computer Principles

Lessons Learned:
1. New Language; How to code in HTML, and work with CSS
2. Leveraging Existing Resources; How to build a website from scratch using Notepad++, and Bootstrap
3. Content Strategy; A website is only as good as the message it aims to communicate, and how each of its pages supports this message through clear content, and organization
Work Overview: HTML pages with varying complexity to demonstrate understanding, and applications of native HTML, and CSS properties. Final project (no. 3) showcases galleries of authored work, and wire frames for select marketing strategy courses, and a static “About Me” page.
Projects (open specified file with desired Internet browser):
1. First Ever Wireframe; with placeholders for content, and Lord of the Rings design; open “index.html”
2. Populated First Ever Wireframe; placeholders in wireframe replaced with content; open “Home.html”
3. First Ever Website; applied introductory web design, and development principles using Bootstrap; open “index.html”
4. First Ever GIF; spoofed, comical frames with Robert Downey Jr. to learn how to manipulate PSD files; click on file