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I am an experienced software QA engineer with over six years of experience in the software industry. I hold a Masters's degree in Computer Science from The University of Iowa and have extensive experience in manual and automated testing.

My expertise in automation testing tools such as Selenium, Cypress, Playwright, and JMeter has helped me develop and maintain a robust suite of automated test cases that ensure the quality and reliability of our products. Additionally, I have experience with performance testing, load testing, and stress testing using JMeter and other tools.

I am well-versed in agile software development methodologies and have worked closely with development teams to ensure our testing efforts align with project timelines and goals.

Moreover, my knowledge of SQL and database technologies enable me to validate the integrity of data stored in our products effectively. I am also familiar with data extraction, web scraping, data wrangling, and data acquisition techniques that enable me to collect, transform, and publish data accurately and efficiently.

Beyond my technical skills, I am an avid learner who constantly seeks new opportunities to improve my knowledge and skills. I have attended several training sessions, workshops, and industry conferences that have helped me stay current with the latest developments in the software industry.

Outside of work, I am passionate about staying up-to-date with the latest trends and developments, and I enjoy participating in online communities and events to learn from and connect with other professionals.

  • Programming and Script Language: Javascript, Python, R, SQL, Bash, Java, HTML, CSS
  • 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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SAMUEL ABOYE's Projects

animation icon animation

This project is a simple animation powered by Javascript. - Whenever the pages load, it'll generate a random color for the text also the animating ball.

automated-file-transfer-with-bash icon automated-file-transfer-with-bash

Automated File Transfer project that automates the process of transferring files from a source directory to a destination directory. It can be run on a schedule or manually and sends notifications through SMS using the AWS SNS service and email in the case of failures or successes.

automated-test-with-playwright icon automated-test-with-playwright

This repository contains the code for an automated testing project that uses Playwright Test on the LambdaTest platform. The project is designed to automate web application test.

automation-sandbox icon automation-sandbox

An example application that captures prominent and ugly functionality found on the web. Perfect for writing automated acceptance tests against.

chat-gpt3-bot icon chat-gpt3-bot

Simple chat bot designed to generate course descriptions based on a given course title and subject. This tool utilizes the powerful GPT-3 API from OpenAI and the Flask web framework to provide this functionality.

comcast-telecom-consumer-complaints icon comcast-telecom-consumer-complaints

A Data Analysis project is to explore consumer complaints about Comcast, a US-based telecommunications company, in order to gain insights into the company's performance.

data-modeling-with-postgres icon data-modeling-with-postgres

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 flight booking database, as it allows for efficient querying of data such as booking dates, flight routes, and passenger information.

eda-canadian-income-distribution icon eda-canadian-income-distribution

A project is to make a simple Exploratory Data Analysis to find if there is a direct relationship between income and the level of education in Canada.

extract-transform-load-weather-data icon extract-transform-load-weather-data

ETL (extract, transform, load) pipeline project that involves extracting data from flat files, manipulating and organizing the data through a series of transformation steps, and loading the resulting data into an SQLite database.

js-questions icon js-questions

A long list of (advanced) JavaScript questions, and their explanations :sparkles:

predicting-sales-performance icon predicting-sales-performance

project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.

qa-todo-app icon qa-todo-app

This repository contains Playwright for the End-to-End test and Chai for the Unit Testing of the TODO web application. The Playwright validates the UI test that simulates user interactions and verifies the user interface's proper functioning. The unit tests use Mocha as a test runner and Chai to validate code behavior.

real-time-data-streaming-pipeline icon real-time-data-streaming-pipeline

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.

recommendation-system icon recommendation-system

This project is a simple recommendation system developed based on a user-based recommendation model

sales-performance-analysis icon sales-performance-analysis

A dashboard that presents monthly sales performance by product segment and product category to help clients identifying the segments and categories that have met or exceeded their sales targets, as well as those that have not met their sales targets.

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