Kenneth Okoye
Data Analyst
Ikeja, Lagos,LA
Summary
Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Python Data Analyst
Rycendi Resources
Lagos, Nigeria
03.2021 - 01.2024
- Provided technical expertise during the implementation of new analytical tools and platforms, ensuring seamless integration into existing workflows.
- Developed required policies and procedures that reflected actual goals, tasks and workflows, while meeting all regulatory compliance requirements.
- Developed custom data visualization tools in Python, facilitating effective communication of complex findings to stakeholders.
- Developed and maintained data warehouses and data marts to support business operations.
- Worked with business intelligence software and various reports to glean insights into trends and prospects.
Data Analyst
Advance Digital City
Awka, Anambra, Nigeria
08.2018 - 09.2020
- Provided technical support for troubleshooting analytics and reporting issues.
- Used statistical methods to analyze data and generate useful business reports.
- Analyzed data to identify root causes of problems and recommend corrective actions.
- Created data models to support decision-making processes.
- Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
Education
Bachelor of Science - Computer Science
Nnamdi Azikiwe University
Awka, Anambra, Nigeria 04.2001 -
Skills
Python
Data Visualization
Tableau
Business Analysis
Git
Machine Learning
Effective Communication
Model Evaluation
SQL and Databases
Accomplishments
- Performed Exploratory Data Analysis on Netflix with visualization tools like matplotlib and seaborn.
- Built and developed a movie recommendation system that accurately predicts user ratings with an accuracy of 86% and improves user experience utilizing supervised machine learning algorithms
- Developed house price prediction application using Natural Language Processing (NLP), Machine Learning (ML) models, and supervised/unsupervised algorithms
- Extracted streaming video features and data from 30,000 YouTube videos automatically, by leveraging YouTube API and customized Python scripts
- Used Microsoft Excel to develop inventory tracking spreadsheets.
Certification
Univelcity
Timeline
Univelcity
09-2022
Python Data Analyst
Rycendi Resources
03.2021 - 01.2024
Data Analyst
Advance Digital City
08.2018 - 09.2020
Bachelor of Science - Computer Science
Nnamdi Azikiwe University
04.2001 -