Joshua Olaniyi-Ibiloye
About Candidate
Business Intelligence/Data Analytics Specialist focused on providing business intelligence and analysis solutions to a
wide range of stakeholders. I contribute to planning, designing, and implementing end to end automation system
architecture useful in improving data quality and building BI dashboards. I help translate strategies and requirements
from the business into analytics opportunities to support decision making demands.
Location
Education
M.Sc Computer Science
Data Science and machine Learning
B.Sc Computer Science
Applied Data Science II: Machine Learning & Statistical Analysis (with honors)
Earners of this badge are able to build machine learning models to make predictions on real-world data. They understand the best way to treat, clean, and encode data and how to choose the appropriate machine learning models for the task. They can properly tune the model to create a generalized model that performs well on both a training set and on out-of-sample data. They can build models using text and time series data. Earners are also proficient in using Python’s scikit-learn package.
Applied Data Science I: Scientific Computing & Python (with honors)
Earners of this badge have completed a comprehensive introduction to scientific computing, Python, and related tools used by data scientists. They can use Python to read, clean, process, and analyze real-world data by following good programming practices such as using functions, choosing the appropriate data structures, and writing readable, maintainable code. To determine the statistical significance of the results of their analysis, they can apply statistical analysis and hypothesis testing.
Microsoft Certified: Power BI Data Analyst Associate
Earning the Power BI Data Analyst Associate certification validates the skills and knowledge required to enable businesses to maximize the value of their data assets by using Microsoft Power BI. As a subject matter expert, Data Analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations.
Work & Experience
Senior Analyst (Data and Advanced Analytics)
- Automating data extraction from several data sources including MongoDB, MySQL & Oracle Databases, SharePoint and others. - Develop and deploy operational and regulatory reports and dashboard for continuous monitoring and management reporting. - Developing and maintaining small scale databases and data systems – reorganizing data in a readable format - Performing analysis to assess quality and meaning of data - Filter Data by reviewing reports and performance indicators to identify and correct code problems - Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction - Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time. - Preparing reports for the management stating trends, patterns, and predictions using relevant data - Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
Visualization and Advanced Analytics Associate
-Identify and document stakeholders’ business and functional requirements and translate them into data analytical requirements - Engage in stakeholder onboarding process to understand their business, identify their needs, and design solutions that meet their needs - Translate quantitative analyses and findings into visuals for non-technical audiences. - Provide clear interpretation of the data to effectively communicate findings and insights to senior executives, managers and key stakeholders. - Design and develop financial and operational BI dashboards for stakeholders to view and make important business decisions. - Develop complex SQL and Python scripts for data processing, retrieving, storing, and manipulating to enable the maintenance of database based on the business purpose - Design and implement ETL backend architecture with a vision of automating data flow from multiple data sources to BI dashboards - Compile and mine data from a wide variety of data repositories - Develop new modeling techniques and tools for analytics and reporting. - Implement and evaluate the processes, practices and continuous improvement initiatives for reporting, insights, and analytics capabilities - Monitor all data projects according to development life cycle and ensure compliance to quality standards. - Prepare test cases and plans and perform tests on systems. - Apply project management methodologies, principles, and techniques to develop project plans and to cost, resource and manage projects - Promote and consult on data management, governance, and data quality of master data requirements with other functional data owners to ensure master data integrity across the business Key achievements Data Quality Monitoring Dashboards Retail Customer Segmentation model Digital Channels Activity Dashboards Channels and Products Utilization Analytics Dashboards Service Points Location Optimization Automated reporting dashboards for several businesses
Data Analytics Consultant (Contract)
Web Developer
- Analyzed stakeholders’ requirements and translated them into technical requirements - Designed quality websites and applications with HTML, CSS, and JavaScript. - Integrated data from various back-end services and databases - Built modules using server-side frameworks such as python, PHP and Java. Achievements Web application for PG college Website and portal Course registration module for PG college University of Ibadan Student Union and Senate Election Accreditation Application
