Data Analyst
Jos, Plateau State, Nigeria
- Data Analysis and Visualization:• Utilized Excel to perform data cleansing, manipulation, and analysis on large datasets, resulting in a 20% reduction in data errors and improved data accuracy for reporting purposes.• Created interactive dashboards and reports using Power BI, enabling stakeholders to gain actionable insights and make data-driven decisions, leading to a 15% increase in operational efficiency.- SQL Data Querying:• Developed complex SQL queries to extract, filter, and aggregate data from databases, reducing query execution time by 30% and optimizing data retrieval processes.• Utilized SQL to perform data joins and merges, consolidating multiple data sources and facilitating comprehensive data analysis, resulting in a 25% reduction in data processing time.- Python Data Analysis:• Leveraged Python and Pandas library to analyze and preprocess unstructured data, leading to a 40% improvement in data cleaning and preparation efficiency.• Implemented statistical analysis in Python to uncover insights, leading to the discovery of cost-saving opportunities, resulting in a 10% reduction in expenses.- Tutoring Experience:• Developed personalized learning plans for each student, addressing their specific needs and learning preferences, resulting in a 95% satisfaction rate from students and positive feedback from their supervisors.• Provided one-on-one tutoring in data analysis and visualization tools (Excel, Power BI, SQL, Python) to 10 students, resulting in an average 20% improvement in their data analysis skills.