Python


A Data Analyst with 3 years of experience in interpreting and analyzing data in order to draw unique insights and drive innovative solutions . A knowledge-hungry professional who specializes in programming, statistics, and data storytelling.
● Monitoring compliance with the NDPR and other data protection laws, data protection policies, awareness-raising, training, and audits
● advising the business, management, employees and third parties who carry on data processing activities for and on behalf of Reddington of their obligations under the NDPR
● Monitoring and updating the implementation of the data protection policies and practices of Reddington and ensuring compliance amongst all employees of Reddington
● Enhancing and constantly updating the data management and protection framework in line with existing industry and regulatory standards
• Designing and Building Data pipelines with Google sheets
• Data Visualization with Python, Google Data Studio.
• Creating dashboard and interactive reports to drive Revenue.
• Daily reports to the Lagos State Bio-Bank on testing statistics i.e Number of people tested, number of positive and negative results.
• Exploratory Data Analysis / Visualization:
• Thorough analysis of structured data with Python Libraries such as Numpy and Pandas.
• Data Visualization with the Python Libraries such as Seaborn and Matplotlib. • Implementing machine learning models for specific business cases.
Critical Thinking
Solution Oriented
Detail Oriented
Knowledge-hungry
Hash Analytics
Python
Jupyter notebooks
Microsoft PowerBI
Google Sheets
SQL
Tableau
Excel
Google Data Studio
Google Cloud Apps
Mobile Developement
Blockchain
Music
● “Analysis of Sonic effects of Music from a Comprehensive Datasets on Audio Features,” Elektrika Journal of Electrical Engineering, April 2021
KAGGLE
https://www.kaggle.com/otuokeretobechukwu
A leading data science community with powerful tools and resources to help in achieving data science goals. Contributor
• Exploratory Data Analysis / Visualization:
• Thorough analysis of structured data with Python Libraries such as Numpy and Pandas.
• Data Visualization with the Python Libraries such as Seaborn and Matplotlib.
• Machine Learning / Predictive Analysis:
• Data preprocessing.
• Feature engineering for model building.
GITHUB
github.com/OtuokereTobechukwu
Teamwork skills: Communicating Effectively
Probability and Statistics(Coursera)
Introduction to Blockchain Technologies(Coursera)
Neural networks and deep learning
Utiva Data Academy
Hash Analytics