Onyema Ezekwesiri

I am a dedicated Data Analyst with a strong passion for transforming raw data into actionable insights that drive smarter business decisions. With a solid background in data collection, cleaning, analysis, and visualization, I excel at turning complex datasets into clear, meaningful stories that organizations can use to improve efficiency, optimize processes, and achieve growth.

As a Virtual Data Steward working with a data solution company, I analyzed large datasets to identify trends, patterns, and insights which increased business efficiency. I also collaborated with stakeholders to define key performance indicators (KPIs) and improve decision-making. 

I also worked as a Technical Product Analyst with a startup tech company where I created reports to monitor performance and identify improvement opportunities. I also developed comprehensive API documentation and user flow guidelines, enhancing the usability of products and reducing support queries by 75%. 

At Codebasics and Telusko, I enhanced my tech career as a Data Analyst and Python Developer intern. I performed data cleaning and transformation in Python (Pandas, NumPy) to ensure data integrity, increasing accuracy of business intelligence reporting. I also created and managed relational databases (PostgreSQL/MySQL), handling migrations and queries.

Also, I worked as a Data Research Analyst at Kulenga where I conducted market research and compiled competitor data for clients, delivering insights to support strategic planning and decision-making. As part of the job role, I was also required to segment market competitors into premium, standard, and basic categories using Excel tables to enable clear analysis of competitive influence and market positioning.