JU

Jennifer Ugwu

MSc Petroleum Data Management Graduate - Data Engineering, AI Workflows & Cloud-Integrated Analytics

Aberdeen, Scotland

ABOUT

I am an analytical and curious MSc Petroleum Data Management graduate (Distinction) with a strong foundation in data engineering, AI workflows, and cloud-integrated analytics. I have built hands-on experience in Python-based automation, SQL pipelines, and Power BI visualisation, and I enjoy translating complex technical work into clear, data-driven insights that support business decisions. Through my studies and projects, I have developed an interest in how organisations can harness AI and data to drive transformation at scale. I am particularly motivated by the vision to engineer intelligence-driven solutions that improve performance, efficiency, and sustainability across industries.

SKILLS

PythonpandasNumPyscikit-learnSQLData Ingestion & ETL
Cloud Architecture (intro)
GitGitHubJupyter Notebook
Power BIArcGIS ProMicrosoft Excel
PCASHAP
AgileScrum
LaTeX

EXPERIENCE

Procurement and Business Development Executive

2024-05 - 2024-08

Richardson Oiland Gas

• Managed vendor data and order pipelines across 10+ projects, ensuring procurement traceability, cost efficiency, and timely reporting. • Automated parts of the procurement request process using spreadsheets and templates, reducing processing time by 20% • Collaborated cross-functionally with technical and logistics teams to maintain procurement workflow accuracy and delivery KPIs. • Contributed to documentation and digital tracking of purchase orders, improving data visibility for ongoing projects.

Mathematics Teacher

2022-06 - 2023-06

St Patrick School • Nsit Ubium, Akwa Ibom State

• Taught over 120 junior and senior high school students in Mathematics, resulting in a 20% improvement in average math grades. • Created and implemented various strategies that increased student interest in mathematics with thorough teaching plans

Field Engineering Intern

2019-07 - 2019-12

Heritage Energy Operational Services Limited • Delta State

HEOSL (Oml 30) are marginal field operators of shoreline facilities in Delta state. • Collaborated with a team of experts during a six-month flow station operation with HEOSL focusing on optimizing production processes and enhancing operational efficiency • Performed hands-on field tests for well and pump assessments during a workover operation, improving well productivity by 10% • Developed early awareness of system performance monitoring and reporting workflows in high-risk, data-intensive environments

EDUCATION

University of Aberdeen

2024-09 - 2025-08

MSc in Petroleum Data Management

Federal University Of Petroleum Resources Effurun

2015-11 - 2022-03

B.Eng in Petroleum Engineering