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How do I work?

I follow a rigorous process to ensure that I deliver high-quality data science and business intelligence solutions to my clients. My process is based on industry-standard frameworks that have been proven to be effective in delivering successful projects. Here's an overview of our process:

1. Discovery Phase

The first step in our process is the discovery phase. In this phase, we work closely with the client to understand their business needs, goals, and objectives. We use tools such as interviews, surveys, and workshops to gather information and insights from the client.

2. Data Collection and Preparation

Once we have a clear understanding of the client's needs, we move on to the data collection and preparation phase. In this phase, we acquire the data needed for the project and clean and prepare it for analysis. We use tools such as data lakes, APIs, and ETL pipelines to collect and process the data.

3. Analysis and Modeling

With the data prepared, we move on to the analysis and modeling phase. In this phase, we use machine learning and statistical techniques to analyze the data and develop models that can provide insights and predictions. We use tools such as Jupyter notebooks and machine learning libraries to develop and test the models.

4. Model Deployment and Monitoring

Once the models are developed and tested, we move on to the model deployment and monitoring phase. In this phase, we deploy the models to production environments and monitor their performance over time. We use tools such as Docker containers and cloud services to deploy and monitor the models.

5. Reporting and Visualization

Finally, we move on to the reporting and visualization phase. In this phase, we create reports and visualizations that communicate the insights and predictions generated by the models. We use tools such as Tableau and Power BI to create reports and visualizations.

As a consulting firm specializing in business intelligence and data engineering, we utilize industry-standard frameworks such as CRISP-DM, Agile methodology, Lean Six Sigma, and DataOps to ensure that our clients receive the best possible solutions and insights. By following this process, we are able to provide our clients with a comprehensive view of their data and enable them to make better-informed business decisions.

Frameworks I live by

As a data scientist and business intelligence consultant, I pride myself on using a structured approach to my projects. Here's how I use different frameworks to work more efficiently and deliver better results for my clients.

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