I currently work with BNET learning as a guest faculty member on a part time basis. I train participants in Analytics fundamentals. The training is aimed at both beginner and intermediate level of expertise.

Faculty Member (Analytics)

<ul><li>Orchestrated a data pipeline from a third party system.</li><li>Implemented an extensive ETL process.</li><li>Continuous mining of the transformed data.</li><li>Developed and monitor ML models using <code>tidymodels</code> methodology in <code>R</code>.</li></ul>

Data Scientist 

<p>Work in a cross-function environment with various business groups, and end-users to identify, document, and communicate business processes.  Create a system to evaluate the success of any adjustments made within the organization and present</p>

Operational Excellence/Business Transformation

- Developed models to discover the patterns and information hidden in vast amounts of
spatial and non-spatial data across several programs at eHA to support better programmatic
decisions, intervention planning, and improved information products.
- Applied data mining techniques, performed statistical analysis, and build high quality
prediction models that formed the core of eHA's information products on
disease surveillance.

Data Scientist

- Lead discovery processes with Institute stakeholders to identify the business requirements and the expected outcome.

 - Conducted advanced data analysis and complex designs algorithm.

 - Applied advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.

 - Validates analysis using scenario modeling.

Data Science

- Manage the Management Information System Dashboard. 

- Promote factual approach to decision making by providing the management an accurate analysis of people and processes Hardware, Communication) 

- Ensure a performance culture in order to transform the business support systems. 

- 100% implementations of OLAs and SLAs through monitoring Contributed to the development of workforce analytics through calculating operational metrics and KPIs, publishing decision support dashboards, and applying statistical learning and predictive modeling techniques. 

- Ensured the quality of Human Resources data, reports, and metrics with sound Root Cause Analysis fundamentals.

Quality Assurance and Metrics Analyst

Data entry template creation, programming of skip patterns, database design, data cleaning/editing, data analysis Accomplishments Supervised the data collection process of many high profile projects. 

Processed and analyzed raw data collected from field work. Improved the statistical procedure usage and reporting method.

Data Processing Officer

Designed individualized curricula.

Improved the knowledge of both students and lecturers of Michael Okpara University of Agriculture, Umudike, Abia State in the usage of statistical software (SPSS) for data analysis.

Designed an electronic test to monitor performance and understanding - 

SPSS Facilitator

I do data wrangling, statistical modeling, general data science and data engineering initiative with R everyday and I enjoy it. I have experience working with spatial and non-spatial data.

I have compelling experience in the usage of SPSS for statistical analysis

I use python for data wrangling and data analysis to complement my use of R using either Rstudio IDE or other IDE.

Experience administrating and maintaining open and proprietary SQL-based database systems. I make sure databases can stand the test of time using industry best prcatices.

Experience working with ELK stack (Elasticsearch, Logstash and Kibana) for processing pipelines, indexing data and building visualizations.

Personal details

Olumide O.

Summary

Technical skills

Work Experience

Education