HELLO, MY NAME IS
Joao C. Tarira Barroso
Data Scientist / Data Analytics
(Open to Relocate)
About Me
Energetic Data Science Analyst with a near-completion Master’s in Computer Science from Florida Atlantic University, expected graduation July 2025. Over the past two years, I have immersed myself in advanced data science coursework, focusing on machine learning, deep learning, conversational AI, and generative AI.
My academic projects have been centered on developing and applying these technologies throughout the software development lifecycle, enhancing predictive models, and automating processes. This hands-on experience, coupled with academic projects, positions me to effectively contribute to data-driven environments, where I am eager to apply innovative solutions and data-driven problem-solving capabilities.
Skills
Programming & Frameworks: Python, C#, C++, Scala, R, Flask, Keras, TensorFlow
Data & AI: Data Analysis, Machine Learning, Deep Learning, Big Data (Spark, Hive)
Version Control: Git, GitHub
DevOps & Cloud: AWS, Google Cloud Platform, Power Automate, Power Apps.
Agile & Scrum: Scrum Framework, Product Owner Training
Project Management: Experience in managing projects from conception to completion, enhancing operational efficiencies, Microsoft Office.
Process Improvement: Implementing automation, reducing waste, and improving throughput through strategic analyses
Cross-Functional Collaboration: Working effectively with diverse teams to drive innovation and operational excellence
Professional Experience
Data Engineer Intern (3 months)
Collaborated in a scrum team to deliver efficient data processing solutions through the Python Spark ETL pipeline.
Coordinated with cross-functional teams to implement a Jira solution for intake requests, streamlining the request process and reducing response time by 30%, applying insights from product training.
Developed and implemented shell scripts to track changes in the data lake, enhancing data integrity and reducing manual tracking efforts by 50%, informed by advanced product training.
VIP/DET Preoperative Specialist SR. (4+ years)
Collaborated with cross-functional teams, including engineering, marketing, and external vendors, to develop and implement new solutions, enhancing system capabilities and user experience.
Successfully trained over 10 new planners, ensuring continuity and improvement in preoperative planning processes.
Presented product strategies and technical insights to various internal teams including Product Management, Cybersecurity, VP Software Team, DevOps, and Quality Assurance, enhancing product development and compliance.
Developed an innovative app for a Case Management System, reducing pipeline waste by 20% through automation and streamlined processes, leveraging advanced product training.
Proposed a change in the pipeline to increase throughput by 10%.
Developed and deployed scripts and Robotic Process Automations (RPAs), boosting overall performance by 30% through innovative automation techniques.
Jr. Project Engineer (1 year)
Designing a new product line for cervical spine implant offering using SolidWorks creating 3D models, assemblies, and engineering drawings for manufacturing.
Designing custom instrumentation (Approximately: 25) from current instruments based on surgeon needs and feedback from cadaveric labs, calls or emails.
Presenting design concepts and findings to senior leadership, resulting on proceeding with test parts, and expected verification and validation plan.
Assisting and creating DOES in mechanical testing and rapid prototyping for validation of current Spine Degen Instruments.
Portfolio
ConvoClear APP
Description: ConvoClear is an innovative communication tool designed specifically for individuals with hearing impairments, like myself, to bridge communication gaps effectively through cloud-based AI technologies. Hosted entirely within the Google Cloud Platform (GCP) ecosystem, ConvoClear leverages cutting-edge speech recognition, text-to-speech synthesis, and sentiment analysis to enhance interpersonal interactions.
Speech Recognition Technology: Utilizes Google Cloud Speech-to-Text API to convert spoken words into text. This service is optimized to handle various accents and background noises, making it suitable for real-world scenarios where clarity might be compromised.
Text-to-Speech Synthesis Technology: Utilizes Google Cloud Speech-to-Text API to convert spoken words into text. This service is optimized to handle various accents and background noises, making it suitable for real-world scenarios where clarity might be compromised.
Cloud Storage and Processing: All data, including recorded speech and generated text, are stored and processed within Google Cloud Storage and Cloud Functions. This setup ensures data security, scalability, and efficient processing.
Sentiment Analysis: Plans to incorporate Google Cloud Natural Language API for sentiment analysis, which will analyze the emotional tone of the text, providing users with insights into the emotional context of conversations. This feature will be particularly useful in understanding nuances in communication that might be lost in text-only interactions.
SmartMortgage APP
Description: SmartMortgage is an advanced mortgage calculator hosted on Google Cloud Platform (GCP) using Flask and Python. Beyond basic calculations, it provides an interactive platform for users to visualize the impact of additional mortgage payments, offering insights into financial planning and savings.
Dynamic Mortgage Calculation: Users input their mortgage details (loan amount, interest rate, term, extra amount). Utilizes python for real time calculation, showing how additional to the monthly payment can significantly reduce the total interest paid over time.
Education Financial Tools: Users can see how much interest they will be saving and how many months/years they will shorten their loan by making extra payments. Allows users to compare different scenarios.
App is a personal interest in finances and good decisions based on future savings.
DET Operations Assistant
Description: The assistant is a sophisticated document operations assistant I developed for personal productivity, significantly enhancing my productivity by automating document management, data extraction. Utilizing Python for scripting, this tool integrates a lot of my work software such as: Cloudberry, Web app, PDF, Microsoft Word, File Management, Jira, within others.
Document Automation: Automates the extraction of data to ensure the accuracy of documents created needed for the Quality Management System. This results in savings of hours of manual data entry.
Data Validation: It uses flows to extract data across different documents to ensure that the documents are up to quality controls. This feature with the session name file generation has ensure accuracy and has reduced errors in my productivity.
File Management with S3: All of the documents created are organized locally and after all has been revised is ready to be uploaded to the secure bucket using the Amazon S3 API.
Jira API: Cases are in Jira in different queues and have to be selected and assign to the planner, this process can be large and with the help of the JIRA Rest API querying and sorting depending on the need helps to make the workflow smooth.
The implementation of the assistant has resulted in an increase of my productivity by 40%. By automating repetitive tasks.
Education
MS Computer Science
Expected Completion July 2025
Relevant Coursework
Software Engineering
Deep Learning
Machine Learning
Computer Performance Modeling
Analysis of Algorithms
Conversational AI
Stochastic Models
GenAI Software Development Lifecycle
BS Bioengineering
May 2024