Raphael Onyeije

Dedicated and focused Data Analyst with professional experience in the application of data analytics to identify and assess business opportunities and solve business problems. Strong experience in data preparation and processing, identifying patterns and  trends, data visualization, dashboard reporting, SQL, python, Power BI, Tableau, Excel

Using data to identify trends, assess business opportunities and solve business problems. Create and develop documentation of data visualization standards, policies, and guidelines including dashboard reporting. Setting the focus and direction for Data Visualization based on assessment of both future needs and existing gaps. Establish design standards for the team’s output and data tools to make them more compelling and interactive and increase business impact

• Apply CRISP_DM model to identify and assess business opportunities and address key business challenges
• Excellent data preparation (data cleaning, data mining, data transformation) and data integration and analysis skills
• Develop data visualization and dashboard reports and evaluations
• Test validity of model result and proactively develop and predict business applicability by categories as applicable
• Recommend and implement actions to improve business operations and reporting efficiencies while aligning with cloud developers to operationalize cloud pipeline
• Proficient in Excel, SQL, python, Power BI, Tableau, pandas, matplotlib, scikit-learn, and as required in building reproducible and concise analysis
• Highly motivated, with strong communication and interpersonal skills, a passion for data science and analytics, effective time management, flexible and innovative, passion for excellence and service, desire to learn and develop self and others

Diploma - Data Analytics (Southern Alberta Institute of Technology) 2021

B Sc - Geology (University of Calabar) 1997

M Sc - Applied Geophysics (Federal University of Technology) 2010