Projects
Google Reviews Classification - Natural Language Processing
March 2024
In this NLP project you will be attempting to classify Google Reviews into 1 star or 5 star categories based off the text content in the reviews.
Each observation in this dataset is a review of a business by a user. The stars column is the number of stars assigned by the reviewer to the business. The cool column is the number of “cool” mentions this review received and the useful and funny columns follow this structure. This is gathered review data and does not have the actual business information
Spam Detection - NLP (Natural Language Processing)
March 2024
This is a Natural Language Processing(NLP) project that I did part of training. This trains on text data to be able to decipher if a text message is spam or not. The Data is gathered voluntary acquired text messages in the UK, there are over 5 thousand messages that I will use for training and testing.
Data Citation: Almeida,Tiago and Hidalgo,Jos. (2012). SMS Spam Collection. UCI Machine Learning Repository.
Breast Cancer - Principal Component Analysis
February 2024
This is mini project looking at breast cancer data, this is to showcase an example of a principal component analysis. I wanted this to be my first principal component analysis health study because of the affect it has had on some of my loved ones.
Predict Bank Investor - Machine Leaning (Random Forest)
January 2024
For this project I will be exploring financial data from a world leading bank that focuses on digital banking. This bank connects people who need money (borrowers) with people who have money (investors). As an investor you would want to invest in people who showed a profile of having a high probability of paying you back. I will try to create a model that will be able to help predict what borrower will do before the money is even lent to them.
This bank had an interesting year in 2016, so let’s check out some of their data and keep the context in mind.
The way these features/attributes of this data are, this will be done using a random forest machine learning model. I have picked this model because over a normal tree model is to avoid high correlation to a single particular feature of the this data.
Contract Work Example - K Nearest Neighbors
December 2023
This project is an example of a contract job with a company that has abstracted data. I will be using K Nearest Neighbor machine learning model for this project to classify if it in the target class or not.
Ad Data - Logistic Regression
November 2023
This project I will be working with a fake advertising data set, indicating whether or not a particular internet user clicked on the website advertisement banner. I will create a model that will predict whether or not they will click on an ad based off the features of that user.
Ecommerce and Retail - Linear Regression
October 2023
This an Ecommerce company Project based in New York City that sells clothing online but they also have in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want.
The purpose of this test project is, the company is trying to decide whether to focus their efforts on their mobile app experience or their website. This is an example of a contract hire. (The data in this is not real)
AI In SQL - Sentiment Analysis
March 2024
This project showcases how generative AI large language models can be implemented inside SQL using the Google Cloud Platform Bigquery. In this project, I will show how to do Natural Language Processing in SQL without having to use Python. For this project, I am using social media comments and will have the Gemini large language model analyze each comment in the database. I will do minor prompt engineering and create a one-shot prompt design for this. The model will apply Positive, Neutral, Negative, and blank if it is unknown. Then it places those results same row of the data table as the comment. Providing a much simpler way of analyzing nuanced text data in a method many businesses have access to. Also, I will set up a pipeline to Looker Studio to people the ability to look at the results of how the Model did.
Advertising Image Analysis - LLM Image Analysis with Vertexai
March 2024
This is a demonstration on how to use the gemini LLM in a practical business case. This model that I has a quick and minor prompt design done to it. The case for this is an Advertising company, it allows its employees to take take in a new client have the client send in a picture of each product. Then the Model will take each product picture and with having to do anything the model with give a short descriptive text, and catchy phrase, and poetic description of each product. This will be done in seconds, allowing for more time to focus on fine tuning.
I have also already prepared a safeguards in place like harassment, dangerous content, and etc.
Text Classification - Palm 2 Vertex AI
March 2024
This is PaLM 2 model prompt designed for text classification. I complete this in a lab using VertexAI, This goes over different ways to implement text classification.
- Zero-shot prompting text classification
- Few-shot prompting text classification
- Common tasks:
- Sentiment analysis
- Topic classification
- Spam detection
- Intent recognition
- Language identification
- Toxicity detection
- Emotion detection
Azure Data Pipeline
March 2024
I created an in-production automated data pipeline in Azure for the information regarding the 2021 Tokyo Olympics. This is an example of one of the many ways to produce azure pipeline. For this, I set up a new Azure environment and created a scheduled data extraction using the Azure data factory. Brought the data into a Gen 2 data lake storage account, then used azure databricks to create a spark data preprocessing job, and brought the transformed data into a different area of the storage account. Afterward, I used Azure Synapse to perform SQL queries on it and prepped it to easily be pushed to Looker, Domo, Tableau, etc.
Cloud Application Deployment
February 2022
Deploy a flutter application using Firebase or Google Cloud’s App Engine. Use Cloud Storage bucket to house all heavy storage assets and have them pulled as needed. With analytics tracking set up.
Web Portfolio
January 2022- February 2022
Created this portfolio from scratch using Google’s Flutter framework. I was able to develop this multi-platform application using the skills taught in the Flutter Development Course created by Raywenderlich and Google, as well as the 2021 Flutter Development Bootcamp with Dart.
The project is currently deployed on the web as a website for Wesley Mbuakoto (myself). Also designed, stable, and tested for web, android, ios, and windows. This is possible by using Flutter’s most recent 2.10 version. This portfolio project has a complete responsive design on every platform it is run on, and this has been tested thoroughly. While also keeping up with the modern standard of 60 frames per second on every platform, without hindering the performance of the device.
This application will continue to be kept up to date, and will have more flutter features added to it
Fooderlich Backend Application
November 2021 – December 2021
A Responsive cooking recipe social media, flutter application. The user can search for recipes, add those recipes to their favorite, save the recipes for later, and create easy to use grocery list. This flutter application was created, showing these topics in flutter:
• Understanding of Widgets, and all the different types of them
• Routes and Navigation using Navigator 2.0
• Deep Links & Web URLs
• State Management
• Responsive Design
• Networking in Flutter
• using the Chopper Library
• Flutter Streams
This flutter application was developed to run on Android and IOS. The project was instructed by Raywenderlich’s Flutter Apprentice Course, created and taught in partnership with Googles Flutter Development Team
Fooderlich Application
October 2021 – November 2021
A Responsive cooking recipe social media, flutter application. The user can look through comments for recipes, through different type of recipes, create a grocery list, give each list item specific properties, and be able to easily delete them. As well as be able to change between normal and dark theme for the application.This flutter application was created, showing these topics in flutter:
• Understanding of Widgets, and all the different types of them
• Routes and Navigation using Navigator 2.0
• Deep Links & Web URLs
• State Management
• Responsive Design
This flutter application was developed to run on Android, IOS, and Web. The project was instructed by Raywenderlich’s Flutter Apprentice Course, created and taught in partnership with Googles Flutter Development Team.
BMI (Body Mass Index) Application
May 2021 – May 2021
A Responsive body mass index calculator application, that takes in user’s sex, height, weight, and age. This particular project shows the flexibility of stateful widgets in flutter. This flutter application was developed to run on Android and IOS. The project was instructed Dr. Angela Yu in the Complete 2021 Flutter Development Bootcamp , on Udemy.
Destini Application
February 2021 -February 2021
A Responsive Destini story application, that has a modularized story. The application takes the user’s answers and progressing along a story. Once the user has gone through the story making their decisions, they are met with one of the possible endings based on the user’s choices. This particular project shows the object orientation of the dart programing language, allowing the user to see what is necessary and nothing more. This flutter application was developed to run on Android and IOS. The project was instructed Dr. Angela Yu in the Complete 2021 Flutter Development Bootcamp, on Udemy.
Quizzler Application
March 2021 -March 2021
A Responsive Quiz application, that has a modularized questions. The application take the user’s answers and stores them, while showing a visual progress at the bottom on the application. depicting how the user is doing. Then ends it by notifying when the user has answered all the questions and restarts the quiz. This particular project shows the power of the dart language and how you can modularize any aspect the developer desires. This flutter application was developed to run on Android and IOS. The project was instructed Dr. Angela Yu in the Complete 2021 Flutter Development Bootcamp, on Udemy.
Dicee
February 2021 -February 2021
A Responsive dice rolling application. This particular project shows the flexibility of stateful widgets in flutter. This flutter application was developed to run on Android and IOS. The project was instructed Dr. Angela Yu in the Complete 2021 Flutter Development Bootcamp, on Udemy.
Hawkify and the Power of React.js
March 2019
Assisted in the development of HawkHack is a 24-hour hackathon people are welcome to form a team and build awesome software and hardware projects. This is a project connecting to Spotify’s API so that people can sample music recommended by friends and family. To ease others into trying out different musical styles.
Montclair University Campus Recreation Website Re-Design
October 2017 – April 2018
Assisted in the development of Montclair Campus Recreation center website redesign. Moved all of the current information into WordPress. Then going to each department of the organization to design their area web pages.
MSU Campus Recreation Application
June 2017 – August 2017
Handled the New Campus Recreation Center application. With new features, modern design, and a more streamlined User Interface.
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A technical specialist that will work to get the solution and optimize it for the company.
A technical specialist that will work to get the solution and optimize it for the company.
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