Damilola Bola-Raji
@damilolabola-raji
Data Analyst and data science consultant delivering predictive analytics and dashboards to improve decision-making and operations.
What I'm looking for
I’m a results-driven Data Analyst and data science professional with over five years of experience using advanced analytics, machine learning, and data visualization to improve operational efficiency and stakeholder decisions. I specialize in building predictive models, optimizing processes, and delivering actionable, data-driven solutions across Energy, Oil & Gas, Utilities, and Manufacturing.
In my current role as a Data Science Consultant, I analyze business operations data to identify trends and key drivers, then translate findings into data-backed recommendations. I build and maintain Spotfire dashboards and automate KPI reporting, perform data cleansing and transformation with SQL and Python, and use Dataiku to enhance predictive model accuracy by 10%. I also lead root cause analysis for data anomalies and help standardize data metrics and documentation across teams.
Earlier experience includes building interactive Power BI dashboards for project cost and schedule performance, and using Excel and SAP to develop predictive hydrogen consumption trend reports that support planning and inventory. I’ve also contributed to quality and compliance improvements—supporting 100% compliance and improving product reliability by 15%—and I bring a collaborative style that includes mentoring junior analysts and aligning analytics initiatives to organizational goals.
Experience
Work history, roles, and key accomplishments
Analyzed business operations data to identify trends and drivers, enabling data-backed recommendations to stakeholders. Built Spotfire dashboards and automated KPI reporting, and improved predictive model accuracy by 10% using Python and Dataiku.
Developed interactive Power BI dashboards to highlight cost overruns and schedule deviations. Created automated Excel reports and analyzed project performance data to support communication for a large organization.
Identified optimization opportunities for piping recovery rates, saving $600K annually. Built predictive hydrogen consumption trend reports in Excel and SAP and analyzed process data to assess performance and bottlenecks.
Contributed to quality control documentation that improved compliance audit results to 100% compliance. Compiled and visualized product testing data in Excel, generated defect analysis reports, and helped reduce manufacturing errors by 10%.
Education
Degrees, certifications, and relevant coursework
Texas Tech University
Master of Science (MS), Data Science
Earned a Master of Science in Data Science from Texas Tech University (Rawls College of Business).
Prairie View A&M University
Bachelor of Science (BS), Chemical Engineering
Earned a Bachelor of Science in Chemical Engineering from Prairie View A&M University.
Availability
Location
Authorized to work in
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