Olise Ossai Ebinum
About Candidate
Professional Profile
Insight-driven and detail-oriented data analyst with a strong foundation in transforming raw data into actionable business intelligence. I bring a unique blend of technical proficiency, analytical rigor, and business acumen to uncover insights, optimize processes, and support data-informed decision-making.
Armed with a First-Class Honours degree in Biochemistry and professional certifications from Google, IBM, and Microsoft, I have developed hands-on expertise in data analytics tools such as Python, SQL, Excel, Power BI, Tableau, and cloud platforms including Google Cloud and AWS. I am proficient in data wrangling, statistical analysis, dashboard development, and reporting.
My experience spans various projects involving data cleaning, KPI tracking, predictive modeling, and stakeholder reporting. Whether collaborating cross-functionally or independently exploring datasets, I approach every task with curiosity, precision, and a focus on delivering results that matter.
Currently seeking a role where I can contribute to impactful data projects, collaborate with forward-thinking teams, and grow within a dynamic, data-driven environment. I’m particularly passionate about using analytics to solve real-world problems in sectors such as energy, finance, infrastructure, and development.
🔍 Core Skills:
Data Analysis | SQL | Python (Pandas, NumPy, Matplotlib) | Power BI | Tableau | Excel | Data Cleaning | Dashboarding | Google Analytics | Machine Learning (Intro) | Data Storytelling | Cloud Platforms (GCP, AWS) (Intro)
📩 Let’s connect —I’m open to exciting opportunities where data can be used to create value, drive efficiency, and make smarter decisions.
Location
Education
Bsc Biochemistry
First Class Honors
Work & Experience
Data Processing Specialist
Managed and cleaned large volumes of structured and unstructured data to ensure accuracy, completeness, and consistency, enabling reliable reporting and analytics. Conducted exploratory data analysis (EDA) using Excel and Python to uncover patterns, trends, and anomalies that informed internal operational improvements. Designed and maintained reporting dashboards to track performance metrics and KPIs, significantly improving the team’s ability to make data-driven decisions. Collaborated with cross-functional teams to translate business needs into data queries and analytical reports, enhancing operational efficiency. Automated repetitive data entry and cleaning tasks through scripting and advanced Excel functions, reducing processing time by over 30%. Performed quality assurance checks on datasets before final reporting, ensuring data integrity and compliance with internal standards. Generated insights from processed data that supported strategic planning and decision-making by senior management. Provided documentation and regular data updates for stakeholders, ensuring transparency and real-time access to key information.
Research Data Assistant
Conducted field research, ensuring accurate data collection and verification according to research protocols. • Collaborated with the analysis team to interpret data and deliver methodological insights for program improvement • Scheduled and conducted interviews, effectively communicating study objectives to potential subjects. • Played a key role in monitoring and evaluating pro
Portfolio
