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Damilola Bola-Raji

@damilolabola-raji

Data Analyst and data science consultant delivering predictive analytics and dashboards to improve decision-making and operations.

United States
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What I'm looking for

I’m looking for a role where I can build predictive models, automate KPI reporting with dashboards, and partner cross-functionally to turn complex data into clear decisions that measurably improve operations.

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

Bechtel logoBE

Project Control Intern

Jun 2019 - Aug 2019 (2 months)

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.

LyondellBasell logoLY

Process Engineering Intern

Jan 2018 - May 2018 (4 months)

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.

Education

Degrees, certifications, and relevant coursework

Texas Tech University logoTU

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 logoPU

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.

Tech stack

Software and tools used professionally

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