Educational Background: Shareese Hill
Competency Report (.xls) 0.06mb

Goals (Personal & Professional): Shareese Hill

I aim to gain as much experience as possible before starting my own Medical Coding Business. I plan to work in the field for at least 5 years before I start my business. My own medical coding business will consist of coding for small private practices. I would charge these small practices 10 percent for each month, for example if they made $100,000 in the month of May, I would receive $10,000.

My Bio: Shareese Hill
During the past four years, I have worked on contract healthcare assignments, resulting in my Associate's degree in Medical Billing and Coding. In addition to becoming proficient at my work and finding a new passion in my profession, I became knowledgeable about healthcare insurance like the difference between HMO and PPO and how the providers are paid. As Covid 19 and I began working remotely, I realized that I preferred working behind the scenes in the healthcare industry instead of in person. This enables me to provide resources to my friends and family about health insurance and the laws related to it. My friends and family come to me for guidance on anything involving medical bills and healthcare. That's when I really knew that I needed to make this my career.

Projects: Shareese Hill
241005112620_week_7_LCD_NCD_assignment_.docx (.docx) 0.02mb

Projects: Shareese Hill
241005112348_week_2_introduction_rough_draft.docx (.docx) 0.01mb

Projects: Shareese Hill
241005111452_week_5_portfolio_project.docx (.docx) 0.01mb

Resume & CV: Shareese Hill
241123041710_Administration_Resume_1_.pdf (.pdf) 0.03mb

Resume & CV: Shareese Hill
240928061025_Medical_billing_and_coding_Cover_Letter.pdf (.pdf) 0.01mb

Skills: Shareese Hill

• Using word processing programs (Microsoft Word or Google Docs):

  • Skills: Creating, editing, formatting, and saving documents; inserting images, tables, and charts; using styles and templates; understanding page layout and text alignment; collaborating with others via comments or track changes.

• Using spreadsheet programs (Microsoft Excel or Google Sheets):

  • Skills: Creating, editing, and formatting spreadsheets; entering and manipulating data; using formulas and functions (SUM, AVERAGE, VLOOKUP, etc.); organizing data with sorting and filtering; creating charts and graphs; managing multiple sheets in one file.

• Using presentation programs (Microsoft PowerPoint or Google Slides):

  • Skills: Creating and formatting slides; adding text, images, and multimedia (audio, video); using transition effects and animations; creating slide layouts and themes; presenting information clearly and engagingly; collaborating on presentations in real-time.

• Navigating the internet:

  • Skills: Using web browsers (Chrome, Firefox, Safari) to search for information, navigating websites, managing browser tabs, understanding web safety (avoiding phishing and malware), and utilizing online services and tools (cloud storage, e-learning, etc.).

• Using email:

  • Skills: Composing, formatting, and sending emails; attaching files; managing inbox (sorting, organizing, deleting); understanding email etiquette (e.g., professional communication, proper tone); using email clients (Gmail, Outlook) for scheduling and reminders.

• Understanding file management:

  • Skills: Organizing files and folders on a computer or cloud service; naming files appropriately; using file extensions; understanding how to save, move, copy, and delete files; backing up data to prevent loss; sharing files securely.

Skills: Shareese Hill

• Typing Speed and Accuracy:

  • A typing speed of 60 to 90 words per minute (WPM) is ideal for efficient data entry. Accuracy is equally crucial because entering incorrect data can lead to costly errors. Striving for both speed and precision ensures that tasks are completed quickly without sacrificing quality.

• Attention to Detail:

  • Data entry tasks require a high level of accuracy. Attention to detail ensures that every entry is correct and consistent, which is essential to maintain the integrity of the data and avoid mistakes.

• Proficiency with Software:

  • Familiarity with tools like Microsoft Excel, Google Sheets, and other database systems is critical for managing and manipulating data. Advanced knowledge of formulas, sorting, and filtering data can significantly improve efficiency.

• Organizational Skills:

  • Managing large amounts of data requires a systematic approach. Being organized allows you to process, store, and retrieve information quickly. Proper file naming, categorization, and understanding how to structure data is important for long-term accessibility and efficiency.

• Time Management:

  • Data entry often involves meeting deadlines while handling a large volume of work. Effective time management allows you to balance multiple tasks, prioritize work, and avoid rushing, which can lead to mistakes.

• Communication Skills:

  • Clear communication ensures that instructions are followed accurately and that any issues or questions are addressed promptly. Whether interacting with colleagues, supervisors, or clients, strong communication skills help prevent misunderstandings.

• Data Privacy:

  • Understanding data privacy principles (such as GDPR or HIPAA) is essential, especially when handling sensitive information. Maintaining confidentiality and adhering to data protection laws is crucial for building trust and avoiding legal issues.

• Teamwork:

  • Many data entry tasks are done as part of a team. Being able to collaborate effectively, share information, and help others ensures the team remains productive and meets deadlines.

• English Language Skills:

  • Strong English skills, both in reading and writing, are necessary to ensure you can accurately enter and proofread data. This includes understanding instructions and communicating any issues clearly.

Skills: Shareese Hill

1. Data Organization:

   • Structure data tables effectively (e.g., sorting, categorizing, and labeling data).
   • Clean and prepare data for analysis (e.g., removing duplicates, correcting errors, ensuring consistency).
   • Maintain data integrity (e.g., ensuring accuracy and consistency throughout datasets).

2. Data Analysis:

   • Analyze data to identify trends, patterns, and insights.
   • Perform basic statistical analyses such as mean, median, mode, variance, etc.

3. Automation:

   • Use macros to automate repetitive tasks (e.g., data imports, formatting, calculations).
   • Leverage Visual Basic for Applications (VBA) to create custom automation and functions that enhance spreadsheet efficiency.

4. Data Visualization:

   • Create visual representations of data to make it easier to understand.
   • This could include charts (bar, line, pie), graphs, histograms, timelines, heat maps, and tools like Harvey balls for qualitative representation.

5. Reporting:

   • Design clear and concise reports that summarize data.
   • Tailor reports to specific needs, such as financial reports that include key performance indicators (KPIs), income statements, or balance sheets.

6. Modeling:

   • Build complex financial models to predict financial outcomes or scenarios.
   • Create spreadsheet models that simulate real-world systems or business processes (e.g., budgeting, forecasting).

7. Dashboards:

   • Design interactive dashboards that allow users to view and analyze important metrics at a glance.
   • Use data visualizations and live data connections to display key insights.

8. Templates:

   • Create reusable templates that can be customized for various users.
   • Templates might be for project management, financial tracking, or reporting.

9. Functions:

   • Proficient use of built-in Excel functions such as:
     • SUM, AVERAGE, COUNT (basic arithmetic functions).
     • Other functions like IF, VLOOKUP, INDEX, MATCH for advanced tasks.

10. Formula Manipulation:

• Ability to work with formulas efficiently, whether simple or complex.
• Manipulate formulas (e.g., combining functions, using nested formulas) to achieve specific results.