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I am a data science graduate with over six years of experience in the software industry, expecting to complete my formal education in the summer 2024. I hold a Master’s degree in Computer Science from The University of Iowa and have built a strong foundation in data analysis, modeling, and automation throughout my career.

My expertise in data processing tools such as Python, R, SQL, and Jupyter has equipped me to develop and maintain robust data pipelines that ensure the quality and reliability of our analyses. Additionally, I have applied machine learning algorithms, including supervised and unsupervised learning, to solve complex problems and generate actionable insights.

I am familiar with agile software development methodologies and have worked closely with cross-functional teams to ensure our data-driven initiatives align with project timelines and goals.

Furthermore, my proficiency in SQL and database technologies allows me to validate and analyze data effectively. I am skilled in data extraction, web scraping, data wrangling, and data acquisition techniques, which enable me to efficiently collect, transform, and analyze data.

As a dedicated learner, I continuously seek opportunities to expand my knowledge and skills. I have attended various training sessions, workshops, and industry conferences to stay up-to-date with the latest advancements in data science and machine learning.

Beyond my technical expertise, I am passionate about staying current with the latest trends and developments in data science. I actively engage in online communities and events to connect with and learn from other professionals in the field.

  • 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.

car-license-plate-detection icon car-license-plate-detection

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. Leveraging deep learning models like YOLO, the project includes steps such as Exploratory Data Analysis (EDA), image preprocessing, data augmentation.

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.

course-demand-projection icon course-demand-projection

Course Enrollment Prediction: A machine learning project to forecast course enrollments using historical data. Features data cleaning, exploratory data analysis, model development with RandomForestRegressor, and deployment via a Flask web application.

course-info-bot-llm icon course-info-bot-llm

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 involves data preprocessing, feature engineering, model selection, and evaluation to provide personalized course recommendations.

course-recommendation-system icon course-recommendation-system

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 data preprocessing, feature engineering, model selection, and evaluation to provide personalized course recommendations.

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:

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