Jonathon Johnson
Development
Cebu, Philippines
Skills
Data Science
About
Jonathon Johnson's skills align with Programmers (Information and Communication Technology). Jonathon also has skills associated with IT R&D Professionals (Information and Communication Technology). Jonathon Johnson has 6 years of work experience, with 3 years of management experience, including a low-level position.
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Work Experience
AI / ML INTERN
VITEL GLOBAL
December 2023 - Present
- Conducted development of VoIP / Digital Marketing / AI Data Science project with project team via version control on GitHub Contributed to data pipeline comprised of a pre-trained and fine-tuned Hugging Face Text-to-Video (T2V) model with the project team to generate first-iteration videos within the VoIP, digital marketing, and AI domains Researched competitors in AI with T2V services to pinpoint their strong and weak points and compile overall business strategy Resolved project issues with effective daily communication among the project team via AGILE methodologies Developed MS Power BI dashboard to replace and update existing one displaying the company's primary KPIs, using DAX, data validation, and data transformations on input company data as needed to ensure 100% accurate results Advanced skills: Python, Jupyter Notebook, Google Colab, VSCode, Web Scraping, T2V, GenAI, LLM, MS Power BI
AI/LLM TRAINER (DATA SCIENCE EXPERT)
REMOTASKS
January 2024 - May 2024
- Fine-tuned AI/LLM bot to more accurately respond to prompts written within the Data Science and Mathematics domains Wrote or reviewed over 200 prompts or "prompt+image" pairs accurately, taking into account completeness, details, specifics, system instructions, format / presentation, and other relevant factors Reviewed prompts from other users submitted to the platform, as well as bot responses, to further ensure quality and accuracy Advanced skills: Prompt & "Prompt+Image" Writing / Reviewing, LLM Fine-tuning, Data Science, Math, CSV, JSON, Markdown
FULL STACK SOFTWARE ENGINEER
MONEFI
August 2023 - October 2023
- MoneFi - User-friendly platform with AI-driven borrower-lender matching, intuitive loan request / application process, Education Hub for educational resources, and cross-border payment functionality Debugged / fixed various issues within MoneFi (v2) app, adhering to industry best practices and coding standards, as well as version control and branch management via Git Bash and GitHub, to boost functionality and improve app performance Updated navbar on main webpage with proper routing and nomenclature, removed unnecessary UI functionalities from various components, fixed UI look of Course cards for Education Hub, and revamped UI look of Currency Converter and Transfer components, thus significantly improving the user-friendliness of the app Resolved task-related inconsistencies with effective communication among developer team via AGILE methodologies Advanced skills: VSCode & React.js, Visual Studio & ADO.NET / C#, SSMS & T-SQL
FULL STACK SOFTWARE ENGINEER
MAKAI RENTALS
December 2022 - April 2023
- Makai Rentals - A water sports rental app solution that enables other businesses and individuals to incorporate and start water sports equipment rental service Implemented Appointment scheduler / manager for use by business owners and outside businesses / partners, as well as administrative view of list of users and any associated emergency contacts Constructed Bootstrap-based Appointments, Appointment card, Appointment add / edit form, and System Administrator View components within React.js to achieve full front-end app functionality with AJAX service calls for user and admin side Incorporated SQL database to store data within normalized (3NF) Appointment table with PK-FK relationship to User table and wrote applicable stored procedures in support of API requests and responses Developed applicable requests / responses utilizing C#-based ADO.NET framework for RESTful APIs comprised of interconnected models, interfaces, services, and controllers, connecting client side to server side Resolved app / coding-related issues with constant & effective communication among developer team via AGILE methodologies, as well as maintained proper version control via use of GitHub / Git-based repository Advanced skills: VSCode & React.js (Formik, Yup, React-bootstrap, Rc-pagination, React-datepicker, Moment-timezone, Axios, Prop-types, Toastr, Sweetalert, React-router-dom), Visual Studio & .NET / C#, SSMS & T-SQL
CLASSIFICATION MODELING OF AMAZON REVIEW DATA
January 2022 - April 2022
- Built classification models with both Python and SPSS Modeler using supervised learning KNN, Decision Trees, and Random Forests based on Amazon review textual data compartmentalized into bag-of-words and VADER-based sentiment analysis Applied FAMD on mixed categorical/normalized continuous data to reduce number of dimensions, re-balanced classes via under-sampling method, and performed train-test (80/20) split Selected Pythonic KNN-based classification models to provide highest accuracy (~60%) in predicting AMZN review scores Skills: Python, Scikit-learn, Pandas, JSON, PySpark, Jupyter Notebook, VSCode, SPSS Modeler
DATA SCIENTIST
EQUAL ACCESS CARRIERS, INC
January 2022 - April 2022
- Led programming development of Phase 1, Data Analytics healthcare project (SaaS) with proper version control via GitHub Built medical ontology / knowledge structure & disease probability model to predict early onset of diseases of patients (based on aggregate number of patient visits for each potential disease of the patient extracted from CDC data) Incorporated explanatory variables describing individual patient symptoms to predict a set of potential diseases for the patient Explored credible Big Data sources with synonymous structuring & proper joining of datasets via generated DQ pipeline Categorized ~1,780 diseases by symptoms with respective specialists attached for patient to consult for specific treatment Advanced skills: Python (Pandas, Numpy, NetworkX, BeatifulSoup4, Multiprocessing), Jupyter Notebook, VSCode
CLASSIFICATION MODELING OF AMAZON REVIEW DATA
May 2021 - August 2021
- Compiled data of JSON-formatted Amazon Review data using PySpark & Pandas libraries with Python in Jupyter Notebook Created ERD with Lucidchart and inputted compiled data into MySQL database accordingly Programmed multiple views, e.g., determined best-selling and lowest-selling products within specified product categories via sorted sales / quantity sold per product family / department / type within specified time frames to inform business decisions Skills: Python, Pandas, JSON, PySpark, Jupyter Notebook, VSCode, MySQL, Lucidchart
BUSINESS ANALYST / DEVELOPER
FORTUNETIMES GROUP
September 2020 - August 2021
- Led business development of Phase 1 Data Analytics project (SaaS) for client within the education industry Contributed to automated generation of reports from client to governmental agencies, assisting in development of web-based UI, data model / schema to house applicable data, accompanying data dictionaries, and SQL queries to generate final reports Managed technical writing tasks, i.e., use case and business requirements documentation with proper version control Advanced skills: Data Analytics, Automation, Data Modeling, SQL, Reporting
ENGINEERING PROJECT LEAD
UNITED STATES NAVY (FULL-TIME)
May 2015 - September 2018
- Managed and assisted in creation of Engineering Program for tugboats homeported at last duty station, creating step-by-step Engineering Operating Procedures (EOPs) and Local Operating Procedures (LOPs) for crucial closed loop systems onboard Served as a Surface Warfare Officer with multiple deployments in the East Asia area of responsibility (AOR), ensuring safe navigation of the warship via Bridge Resource Management (BRM) and strict compliance with Rules of the Road (RoR)
JUNIOR DATA ANALYST
LAWRENCE LIVERMORE NATIONAL LABORATORY
May 2014 - July 2014
- Analyzed confidential nuclear weapons test film documentation and created forecasting reports to support DOE project Reviewed over a dozen test shot films frame by frame to determine the product's nuclear yield most accurately ACADEMIC DATA SCIENCE PROJECTS @ GOLDEN GATE UNIVERSITY
Education
Golden Gate University
MS in Finance
May 2023 - Present
Golden Gate University
MS in Business
September 2020 - April 2022
Metropolitan College of New York
MBA
January 2019 - April 2020
United States Naval Academy
BS in Astrophysics
June 2011 - May 2015
