About
OROK,GOSPEL
I'mA Data Engineer
About
NITDA and IBM Certified Data Engineering Professional, Results-driven Data Specialist with 3+ years of experience in Data Management, ETL, Analysis, and Visualization utilizing tools like Python, Apache Arirflow, Kafka, Cognos, SQL and NoSQL.
Also passionate about building an AI ecosystem that delivers high human capacity development impacts.
IBM Python, Data Science, and Data Engineering Skill Badges.
Professional Certifications
Certifications
Educational and Professional Certifications
Skills
Here are some of my Technical and Soft Skills:
Well acquainted with Data Analysis, Data Pipelines, Data management and Processing systems using:
Pandas, Numpy, Stat models, Regex, Selenium, ETL, Request, Scikit-learn, NLTK, Python, SQL(MS Server, MySQL, Postgres), Shell Scripting, Linux/Unix commands, Matplotlib, Seaborn, MS Excel, Tableau, IBM Suit, Google Suits, Microsoft Suits, Critical Thinking, Report Writing, Team Work, and Good Communication.Projects
Done Projects
Car Sales Analysis
Performed a car sales analysis using Microsoft SQL Server and Google Looker Studio, which provides insights into car sales and the performance of various car distributions on revenue generated.
Web Scraping Automation Bot
Developed a simple Web Scraping automation bot with selenium framework. The general idea behind this automation bot is that a website can be scraped on schedule time without any assistance form the progrommer.
Access Control & Automation Analysis
Performed automation and access control analysis on GV-ASManger to identify process inefficiencies, and security vulnerabilities by designing and implementing ETL automation solutions using Apache Airflow that streamlined data workflows from Microsoft SQL Server, and increase productivity by reducing data processing time by 75%.
MyShoplivery Content-based Recommendation System
Developed a simple content-based recommendation system for MyShoplivery, an e-commerce shopping platform in Nigeria. The general idea behind this recommender system is that if a customer selects a particular item, he or she will also like an item that is similar to it. And to recommend this with MyShoplivery App, you can walk into stores from your mobile phone, select items, pay and watch them delivered to your doorsteps in minutes.
WhatsApp Data Analysis of Data Scientists Network(DSN) Community
Performed an analysis of over 3,252 whatsapp dataset of Data Scientists Network(DSN) Community using Python libraries and developed a dashboard using Tableau used for Community Monthly report of (June and July 2022).
ETL(Extract, Transform & Load) Data Pipeline Model
Developed an ETL model for Nigerian Pipelines and Storage Company(NPSC), Port Harcourt pump station that reads inputted pumping parameters, transform and save the transformed data in a ready to load csv format for Analysis
Articles
Read My Articles
WhatsApp Analysis of Data Scientists Network(DSN), Port Harcourt City AI Community
This article explains how WhatsApp analysis can be done for a data science or a tech community to monitor the social media outlet and derive useful insight. It also provides a great way of leveraging data manipulation skills, data cleaning techniques, working with different file formats such as .csv, .txt, handling timestamp data and applying visualization techniques to aid in decision making towards community growth and impact.
My First Data Engineering ETL Project
This article explains how I develop an ETL model for Nigerian Pipelines and Storage Company using Python programming language. The ETL model is able to collect traditional batch pumping parameters from a petroleum product pipeline source station, transforms the collected data, and saves the transformed data in a ready to load csv format for analysis.