Obinna Ezeh

Detail-oriented researcher and data specialist with strong investigative skills in analyzing complex datasets, verifying information, and cross-referencing details to uncover accurate insights. Proficient in Excel, Google Sheets, SQL and Python, with experience in requirements gathering, user verification, and process optimization. Excel at problem-solving, building structured data models (e.g., family-like hierarchies in datasets), and communicating findings clearly to stakeholders. Eager to apply research, skip-tracing-like analysis, and lead management expertise to support asset reclamation operations, including outbound outreach and administrative tasks. Tech-savvy with a proven track record of learning new tools quickly and maintaining high accuracy in high-volume environments.

As a Data Support Analyst with a focus on investigative research and data verification, I have honed skills in analyzing complex datasets, cross-referencing information, and communicating insights to drive operational improvements. Key highlights include:

• Data Support Analyst, Defence Space Administration, Nigeria (March 2024 – Present): Analyzed unstructured data using Excel to identify patterns, boosting cross-functional collaboration and efficiency by 15%. Created visual presentations to explain technical findings clearly to leadership, reducing decision-making time by 25%. Collaborated on troubleshooting data issues, cutting resolution times by 20%, and verified research data to achieve 99% accuracy for critical projects.
• Personal Data Analysis Project (Portfolio), Independent Professional Development (January 2024 – Present): Cleaned and analyzed datasets in Excel to uncover demographic and behavioral trends. Developed interactive Power BI dashboards visualizing sales and income distributions, slashing data review time by 40%. Built SQL databases with over 20 queries for operational insights and used Python for exploratory data analysis (EDA) and classification models achieving 75%+ accuracy, simulating real-world lead prioritization and research scenarios.
• Independent Professional Development, Career Break (April 2022 – December 2023): Completed 150+ hours of training in Excel, Power BI, SQL, and Python. Constructed 5 end-to-end data projects, including KPI dashboards and survey analysis, to apply data modeling and visualization. Designed SQL databases with 17 queries for sales/marketing strategies and practiced business analysis techniques like requirements elicitation and user acceptance testing (UAT) to align solutions with business needs.

My educational background provides a solid foundation in analytical thinking, technical problem-solving, and data-driven decision-making, complemented by targeted certifications in professional simulations.

• Bachelor of Engineering in Chemical Engineering, Federal University of Technology, Minna, Niger State (November 2012 – November 2017): Gained expertise in systematic analysis, process optimization, and handling complex systems, which translates to strong investigative and verification abilities in data-heavy environments.
• Certifications:
  • GE Aerospace - Explore Engineering Job Simulation, Forage Academy (2025): Simulated engineering workflows, enhancing skills in data interpretation and project management.
  • Bank of America - Investment Banking Job Simulation, Forage (2025): Focused on financial analysis, lead scoring, and strategic decision-making, relevant for asset-related research and client outreach.