Experienced Freelancer with broad portfolio across multiple sectors. Strengths lie in adaptability, project management, and problem-solving skills. Successfully delivered projects on time, ensuring customer satisfaction. Known for creativity, communication skills and the ability to understand client needs accurately.
1. Data Analysis & Interpretation
Utilize statistical methods and data mining techniques to identify trends, patterns, and insights
2. Reporting & Visualization
Create interactive dashboards and reports using BI tools like Power BI, Tableau, or Excel.
3. KPI Definition & Monitoring
Define and track Key Performance Indicators (KPIs) aligned with business objectives.
4. Collaboration with Stakeholders
Work closely with departments like marketing, finance, and operations to understand their data needs.
5. Data Governance & Quality Assurance
Implement best practices for data governance to ensure data integrity and security.
6. Continuous Improvement & Innovation
Stay updated with the latest BI tools, technologies, and industry trends.
1. Data Collection & Analysis
Gather data from various internal and external sources (e.g., databases, spreadsheets).
Analyze data to identify trends, patterns, and insights.
Validate and clean data to ensure accuracy.
2. Report Development
Create standardized and ad-hoc reports using tools like Power BI, Excel, or SQL.
Design and maintain dashboards for business units or executives.
Automate recurring reports to improve efficiency.
3. Stakeholder Collaboration
Work with different departments (sales, finance, operations, marketing) to understand reporting needs.
Translate business requirements into technical reporting solutions.
Present insights to stakeholders in a clear, non-technical way.
4. Performance Tracking
Monitor KPIs (Key Performance Indicators) and business metrics.
Build scorecards or dashboards that help track departmental or organizational performance.
5. Data Quality & Integrity
Ensure that data used in reports is reliable and accurate.
Troubleshoot issues with data discrepancies and recommend fixes.
6. Documentation & Maintenance
Maintain documentation for data sources, report logic, and dashboards.
Update existing reports as business needs evolve.
7. Compliance & Security
Follow data governance and compliance policies .
Ensure proper handling of confidential or sensitive data.
1. Preparation of Financial Statements
• Compile and analyze monthly, quarterly, and annual financial statements, including balance sheets, income statements, and cash flow statements.
2. Variance Analysis
• Perform variance analysis to identify and explain discrepancies between actual and budgeted figures.
• Provide actionable insights to management for informed decision-making.
3. Financial Forecasting and Budgeting
• Assist in the preparation of annual budgets and financial forecasts.
• Monitor financial performance against budgets and forecasts, highlighting significant variances.
4. Internal Controls and Compliance
• Ensure adherence to internal controls and compliance with regulatory requirements.
• Assist in the preparation for internal and external audits, providing necessary documentation and explanations.
5. Collaboration with Cross-Functional Teams
• Work closely with departments such as accounting, operations, and senior management to gather financial data and insights.
• Support various departments in reaching their goals through financial analysis.
6. Development and Maintenance of Reporting Tools
• Develop and maintain financial reporting models, templates, and dashboards.
• Streamline reporting processes to enhance efficiency and accuracy.
1 Data Collection & Analysis
Gather and analyze data from multiple sources to derive actionable insights
Collaborate with data analysts and business stakeholders to understand data needs and objectives
2 Visualization Design & Development
Design and develop interactive dashboards, charts, graphs, and reports using tools like Tableau, Power BI, or D3js
Ensure visualizations are user-friendly, accurate, and aligned with business goals 3 Data Integration & Quality Assurance
Integrate data from various sources, ensuring consistency and accuracy
Implement data cleaning and preprocessing techniques to maintain data integrity
4 Stakeholder Collaboration & Communication
Work closely with business teams to gather requirements and translate them into effective visual solutions
Present complex data insights to non-technical audiences in a clear and concise manner
6 Continuous Improvement & Innovation
Stay updated with the latest trends and technologies in data visualization
Experiment with new tools and techniques to enhance data storytelling and visualization effectiveness
CERTIFIED WORKSHOP ON AI DASHBOARD USING MICROSOFT POWER BI