Data Expertise: Excel, Dashboards, SQL & PythonAnisha Jinna
1. **Excel**:
- **Advanced Formula Creation**: Develop and troubleshoot complex Excel formulas to automate and optimize data processes.
- **Pivot Tables & Charts**: Aggregate and analyze data visually, enabling easy interpretation of key patterns and trends.
- **Macro & VBA Scripting**: Automate repetitive tasks, ensuring efficiency and accuracy in data handling.
- **Data Cleaning**: Standardize and validate datasets, ensuring consistency and accuracy for further analysis.
- **Financial Modeling**: Design models to forecast financial trends, evaluate risks, and explore potential scenarios.
2. **Dashboards**:
- **Custom Dashboard Design**: Tailor-made visual interfaces to showcase key data metrics, aligned with client preferences and branding.
- **Interactive Data Visualization**: Engaging visuals that allow interactive exploration of data.
- **KPI Tracking**: Monitor and display critical business metrics in real-time, aiding swift decision-making.
- **Data Integration**: Seamlessly combine data from diverse sources for a comprehensive view.
- **User-friendly Interface**: Design dashboards prioritizing ease-of-use, ensuring stakeholders can easily derive insights.
3. **SQL**:
- **Database Design & Setup**: Architect databases to ensure efficient data storage and retrieval.
- **Complex Query Writing**: Extract specific data subsets or insights using advanced SQL commands.
- **Data Manipulation**: Transform stored data to align with analytical or operational needs.
- **Performance Optimization**: Tune databases to ensure swift query responses and data integrity.
- **Database Management**: Regular maintenance tasks to ensure database health and security.
4. **Python**:
- **Data Scraping**: Extract data from websites or platforms, ensuring a consistent influx of fresh data.
- **Data Analysis with Pandas**: Process and analyze large datasets, identifying patterns and drawing insights.
- **Visualization with Matplotlib/Seaborn**: Graphical representation of data trends and distributions.
- **Machine Learning**: Develop predictive models to forecast trends or classify data.
- **Automation Scripts**: Python scripts to automate tasks, ensuring efficiency in data-related processes.
Anisha's other services
Starting at$10 /hr
Tags
Microsoft Excel
Microsoft Power BI
Python
SQL
Data Analyst
Data Visualizer
Product Data Analyst
Service provided by
Anisha Jinna Phoenix, USA
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- Paid projects
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- Followers
Data Expertise: Excel, Dashboards, SQL & PythonAnisha Jinna
Starting at$10 /hr
Tags
Microsoft Excel
Microsoft Power BI
Python
SQL
Data Analyst
Data Visualizer
Product Data Analyst
1. **Excel**:
- **Advanced Formula Creation**: Develop and troubleshoot complex Excel formulas to automate and optimize data processes.
- **Pivot Tables & Charts**: Aggregate and analyze data visually, enabling easy interpretation of key patterns and trends.
- **Macro & VBA Scripting**: Automate repetitive tasks, ensuring efficiency and accuracy in data handling.
- **Data Cleaning**: Standardize and validate datasets, ensuring consistency and accuracy for further analysis.
- **Financial Modeling**: Design models to forecast financial trends, evaluate risks, and explore potential scenarios.
2. **Dashboards**:
- **Custom Dashboard Design**: Tailor-made visual interfaces to showcase key data metrics, aligned with client preferences and branding.
- **Interactive Data Visualization**: Engaging visuals that allow interactive exploration of data.
- **KPI Tracking**: Monitor and display critical business metrics in real-time, aiding swift decision-making.
- **Data Integration**: Seamlessly combine data from diverse sources for a comprehensive view.
- **User-friendly Interface**: Design dashboards prioritizing ease-of-use, ensuring stakeholders can easily derive insights.
3. **SQL**:
- **Database Design & Setup**: Architect databases to ensure efficient data storage and retrieval.
- **Complex Query Writing**: Extract specific data subsets or insights using advanced SQL commands.
- **Data Manipulation**: Transform stored data to align with analytical or operational needs.
- **Performance Optimization**: Tune databases to ensure swift query responses and data integrity.
- **Database Management**: Regular maintenance tasks to ensure database health and security.
4. **Python**:
- **Data Scraping**: Extract data from websites or platforms, ensuring a consistent influx of fresh data.
- **Data Analysis with Pandas**: Process and analyze large datasets, identifying patterns and drawing insights.
- **Visualization with Matplotlib/Seaborn**: Graphical representation of data trends and distributions.
- **Machine Learning**: Develop predictive models to forecast trends or classify data.
- **Automation Scripts**: Python scripts to automate tasks, ensuring efficiency in data-related processes.
Anisha's other services
$10 /hr