As a results-driven and detail-oriented Data Analyst having skills proficient in extracting, analyzing, and interpreting complex data sets to provide business-driven solutions. I am well-versed in utilizing statistical methods and data visualization tools to give valuable information and recommendations. I can translate data into understandable and actionable information for business in decision-making. Proven expertise in data analysis tools and languages such as Python, SQL, Excel, and Power BI. Strong commitment to continuous learning and updating with industry trends.
Collected and integrated data from multiple sources to ensure accurate, consistent reporting.
Cleaned and transformed raw data for structured analysis and reporting.
Designed and maintained interactive dashboards and reports in Power BI/Tableau for stakeholder insights.
Analyzed large datasets to identify trends, patterns, and actionable insights.
Collaborated with business units to understand reporting needs and provide data-driven solutions.
Generated ad-hoc reports and responded to complex data queries to support decision-making.
Developed and optimized data models for efficient data retrieval and reporting.
Monitored key performance metrics to track business performance in real-time.
Improved data collection processes and reporting workflows for increased efficiency.
Trained business users on BI tools, enabling self service reporting and data interpretation.
Gather data from various sources, including databases, spreadsheets, surveys, and external data sets.
Clean and preprocessed raw data to ensure accuracy, completeness, and consistency.
Use statistical methods and data analysis tools to examine and interpret complex data sets. Identify patterns, trends, and correlations that can inform business decisions.
Create visual representations of data using charts, graphs, and dashboards to communicate findings effectively to non-technical stakeholders.
Generate reports and present findings to management or relevant teams, highlighting key insights and recommendations.
Work with databases to extract, transform, and load (ETL) data. Understand database structures and query languages for efficient data retrieval.
Developed and maintained Power BI reports and dashboards that provide actionable insights to stakeholders.
Experienced in creating and optimizing complex DAX queries and functions.
Implemented best practices for data modeling and visualization to ensure high-quality output using Power BI.
Continuously improved Power BI solutions to enhance user experience and performance.
Successfully completed multiple Power BI projects, delivering high-quality dashboards and reports that provided actionable insights.
Connected to various data sources, imported data, and transformed data for Business Intelligence purposes.
Use analytical skills to solve business problems and provide data-driven solutions.
Collaborate with cross-functional teams, including business analysts, data engineers, and decision-makers, to understand business requirements and provide analytical support.
Manage and prioritize multiple tasks and project effectively, meeting deadlines and delivering high quality results
Utilized data-driven approaches to managing financial affairs, including budgeting and purchasing.
Conducted regular evaluations to ensure curriculum standardization and effective teaching methodologies.
Maintained accurate documentation and data records for students and staff.
Organized and stored students' continuous assessment scores in Excel sheets for easy reference.
Used Excel Formulas and conditional formatting to track students' performance in Maths, leading to improved performance.
Analyzed student data to optimize teaching strategies and report progress to stakeholders