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Working from home
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Working from home
13 followers · 5 following

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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saboye/README.md

I am a Software Development Engineer in Test (SDET) with two Master’s degrees: a Master’s in Data Science from Bellevue University and a Master’s in Computer Science from The University of Iowa. I have over seven years of experience in software development, testing, and automation, focusing on building robust test automation frameworks.

My expertise includes developing scalable testing solutions with tools like Playwright, Webdriver.io, Cypress, Selenium, TestNG, and JUnit. I promote best practices in software testing and accessibility while applying various methodologies such as functional, regression, and performance testing to identify issues early in the development process.

An ISTQB-certified professional, I have a strong background in agile methodologies and work closely with cross-functional teams. My skills in SQL and API testing ensure software quality, and I continuously seek opportunities to enhance my knowledge through workshops and industry conferences.

As an accessibility advocate and AI enthusiast, I engage with the software testing community, sharing knowledge and promoting innovation in the field.

  • Programming and Script Language: Javascript, Typescript, HTML, CSS Python, R, SQL, Bash, Java
  • Automation Testing: Selenium, SeleniumBase, Cypress, JMeter, and Playwright
  • Working with Different Data Types: JSON, CSV, EXCEL, Text, XML, SQL, Parquet, Avro, ORC
  • Version Controlling, Container Virtualization: Docker
  • Databases: Postgres, SQL Server, MySQL, SQLite, and MongoDB
  • ETL Database Model Development: Carry out new procedures and create various data warehouses
  • Data Warehouse, Data Lakes, Data Pipelines, Automation
  • Gather Requirements from Business Analysts
  • Develop Physical Data Models Using Erwin
  • Create DDL Scripts to Design Database Schema and Database Objects
  • Cloud Computing: AWS, Microsoft Azure AZ-900, Microsoft Azure DP-900, Microsoft Azure AI-900
  • Perform Database Defragmentation and Optimize SQL Queries
  • Improving Database Performance and Loading Speed
  • Framework: PySpark, and Hadoop
  • Data Visualization: Tableau
  • Operating Systems: Windows, Linux (macOS, Ubuntu, Redhat)


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  1. Car-License-Plate-detection Public

    The Car License Plate Detection repository contains an advanced computer vision project focused on developing a robust system for detecting car license plates under various environmental conditions…

    Jupyter Notebook

  2. Course-Demand-Projection Public

    Course Enrollment Prediction: A machine learning project to forecast course enrollments using historical data. Features data cleaning, exploratory data analysis, model development with RandomForest…

    Jupyter Notebook

  3. Course-Info-Bot-LLM Public

    The Course-Recommendation-System repository features a project aimed at developing a system that predicts and recommends courses to students based on their preferences and past behavior. It involve…

    Python 1

  4. Course-Recommendation-System Public

    he Course-Recommendation-System repository features a project aimed at developing a system that predicts and recommends courses to students based on their preferences and past behavior. It involves…

    Jupyter Notebook 1 1

  5. Data-Modeling-with-Postgres Public

    A project to design a fact and dimension star schema for optimizing queries on a flight booking database using PostgreSQL, a relational database management system. This schema is well-suited for a …

    PLpgSQL 10 3

  6. Real-Time-Data-Streaming-Pipeline Public

    A real-time streaming pipeline streams live tweets data from Twitter and ingests the data to the Apache Kafka clusters as a topic, and consumers consume the hashtag tweets as a message.

    Jupyter Notebook 1