augustine ugbeda

• Utilize advanced querying, visualization and analytics tools to analyze and process complex data sets.
• Collaborate with stakeholders to develop quarterly roadmaps based on impact, effort, and test
coordination.
• Access accuracy and effectiveness of new and existing data sources and data analysis techniques.
• Discover meaningful insights from data and present information to scientists and business managers.
• Evaluate accuracy and effectiveness of new and existing data sources and analysis techniques.
• Extract and access data from databases to drive product development and business strategies.
• Compile, clean, and manipulate data to ensure proper handling.

Utilize advanced querying, visualization and analytics tools to analyze and process complex data sets.
Collaborate with stakeholders to develop quarterly roadmaps based on impact, effort, and test coordination.
Access accuracy and effectiveness of new and existing data sources and data analysis techniques.
Discover meaningful insights from data and present information to scientists and business managers.
Evaluate accuracy and effectiveness of new and existing data sources and analysis techniques.
Extract and access data from databases to drive product development and business strategies.
Compile, clean, and manipulate data to ensure proper handling.

Utilized various professional statistical techniques and maintained large databases to collect data collection and analysis
Identified, analyzed, and interpreted trends and patterns in complex data sets.
Analyzed user concerns, requirements, and requests for system features.
Conducted data cleaning and validation to promote robust data management.
Employed data mining techniques to identify business opportunities.
Presented reports to clients and teammates regarding project progress and results.

Translated machine learning technology for non-technical audiences.
Created data visualizations to communicate complex data sets effectively.
Developed data mining architectures and models to identify trends.
Assisted in database solutions using SQL languages.
Utilized Microsoft Excel, Microsoft Power BI, SPSS, and Python for data analysis.

Handled customer inquiries regarding account balances, transaction history, and services.
Educated customers on using banking websites and mobile apps.
Assisted customers with account setup, loan applications, and new services.
Processed customer transactions promptly, minimizing wait times.