I have extensive experience in financial modeling, having developed complex models for various industries including retail and technology. My approach involves integrating historical data, market trends, and operational metrics to forecast future performance accurately. This includes sensitivity analysis to understand potential risks and opportunities, ensuring robust business planning and decision-making.

I prioritize tasks based on their impact on business objectives and deadlines. Using tools like Trello and Asana, I categorize tasks into high, medium, and low priority. I also ensure regular communication with stakeholders to align priorities and adjust as necessary. This method ensures that critical tasks are addressed promptly while maintaining a balanced workload.

I utilize a combination of primary and secondary research methods. This includes conducting surveys, interviews, and focus groups for primary data, and leveraging industry reports, market analysis tools, and databases for secondary data. I also use data visualization tools like Tableau to interpret trends and patterns, aiding in informed decision-making.

Accuracy is paramount in business planning. I ensure this by cross-verifying data from multiple sources, conducting thorough sensitivity analyses, and regularly updating models with the latest information. Additionally, I involve key stakeholders in the review process to gain diverse perspectives and catch any potential errors or oversights.

One notable example was a business plan for a startup in the renewable energy sector. I developed a comprehensive plan that included market analysis, financial projections, and strategic initiatives. The plan was instrumental in securing significant funding and guiding the company's growth trajectory, resulting in a 30% increase in market share within two years.