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
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