Data Analysis with the eyes of a Data Engineer.

Leonardo Rickli

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About this service

Summary

I provide comprehensive data analysis services tailored to your business needs, delivering actionable insights and strategic recommendations to drive informed decision-making. What sets me apart is my commitment to meticulous data exploration and visualization, coupled with a deep understanding of statistical methods and advanced analytics techniques, ensuring that you not only uncover valuable insights but also gain a competitive edge through data-driven strategies tailored to your unique challenges and goals.

Process

1. Initial consultation to understand requirements.

2. Data collection from relevant sources.

3. Data cleaning and preprocessing.

4. Exploratory data analysis to uncover patterns.

5. Statistical analysis for deeper insights.

6. Data visualization to communicate findings.

7. Generation of actionable insights.

8. Preparation of comprehensive reports.

9. Review with the client for feedback.

10. Revision and refinement based on feedback.

11. Final delivery of analyzed results and reports.

FAQs

How long does a typical data analysis project take to complete?
The duration varies based on project complexity and data availability. However, a standard project may range from a few weeks to several months, with timelines clarified during the initial consultation phase.
What types of data sources can you analyze?I can analyze a wide range of data sources, including structured databases, CSV files, Excel spreadsheets, web APIs, and more. Whether it's internal company data or publicly available datasets, I adapt my analysis techniques to suit the data source.z
I can analyze a wide range of data sources, including structured databases, CSV files, Excel spreadsheets, web APIs, and more. Whether it's internal company data or publicly available datasets, I adapt my analysis techniques to suit the data source.
How do you ensure the confidentiality and security of client data?
Client confidentiality and data security are paramount. I adhere to strict privacy protocols and can sign non-disclosure agreements as needed. Additionally, I utilize secure data handling practices and work within client-approved environments to safeguard sensitive information throughout the analysis process.

What's included

Comprehensive Data Analysis Report
- Description: A detailed report presenting key insights, trends, and findings derived from the analysis of the provided data sets. The report will include visualizations such as charts, graphs, and tables to effectively communicate the analysis results. - Format: Digital document (PDF or PowerPoint) with accompanying visualizations in PNG or JPEG format. - Quantity: 1 final report. - Revisions: Up to 2 rounds of revisions based on client feedback to ensure clarity and accuracy of the analysis findings.
Interactive Dashboard for Data Visualization
- Description: An interactive dashboard that allows users to explore the data visually and interactively, enabling them to drill down into specific metrics, filter data based on criteria, and gain actionable insights in real-time. - Format: Web-based dashboard hosted on a cloud platform (e.g., Tableau Public, Power BI Service). - Quantity: 1 interactive dashboard. - Revisions: Testing and refinement based on client feedback to enhance usability and functionality.
Code Repository with Documentation
- Description: A well-documented code repository containing the scripts, algorithms, and methodologies used for data cleaning, analysis, and visualization. The documentation will provide clear instructions on how to reproduce the analysis and interpret the results. - Format: GitHub repository or similar version control platform, accompanied by a README.md file outlining the project overview, data sources, methodology, and usage instructions. - Quantity: 1 code repository. - Revisions: Updates or additional documentation provided upon request to address any questions or clarifications from the client.

Example projects