Data Expertise: Excel, Dashboards, SQL & Python

Anisha Jinna

(0)

Starting at

/hr

About this service

Summary

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.

What's included

Excel
Advanced formula creation and troubleshooting. Pivot tables, charts, and data visualization. Macro creation and VBA scripting for automation. Data cleaning, transformation, and validation. Financial modeling and scenario analysis.
Dashboards
Custom dashboard design and development. Interactive data visualization using tools like Power BI, Tableau, or Google Data Studio. KPI tracking and metric reporting. Data integration from multiple sources. User-friendly interfaces for easy data interpretation.
SQL
Database design, normalization, and setup. Complex query writing for data extraction. Data manipulation and transformation. Performance tuning and optimization. Database management and maintenance.
Python
Data scraping and collection using libraries like Beautiful Soup or Scrapy. Data analysis using libraries like Pandas and NumPy. Data visualization using Matplotlib or Seaborn. Machine learning model development using scikit-learn. Automation scripts for repetitive tasks.

Example projects