Posts

Data Lens

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 As a data analyst, developing a habit of looking at things through the lens of data can significantly enhance your professional capabilities. You begin to realize that data is pervasive, and as you navigate through life, you constantly generate new data and contribute to the vast amount of data present around you. This realization underscores the importance of being aware of the data in your surroundings and how it can contribute to your success in your role as an analyst. By being mindful of the data present in your surroundings, you open yourself up to a myriad of opportunities for extracting valuable insights. Here are a few ways in which this awareness can help you excel in your job: Identifying relevant data sources: By understanding the data landscape around you, you can identify potential sources of information that could be valuable for your analyses. This could include internal data sources within your organization, publicly available datasets, o...

From Insights to Impact: Data Visualization

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  As an analyst, dashboards have become essential for project conclusions. However, selecting the right dashboard can be challenging due to diverse stakeholder needs. Some require comprehensive summaries, while others prefer concise overviews. Striking a balance between complexity and simplicity is crucial. Understanding stakeholder preferences is important, but there's more to it. The continuous feedback loop, influenced by varying perspectives, plays a role. While it can cause project delivery delays, it's a vital part of effective communication. Although often underestimated, effective communication is key to project success. While analysis is conducted within the given timeframe, failure to communicate it properly can hinder project delivery. Allocating sufficient time for communication is crucial, as it ensures stakeholders understand and appreciate the conducted analysis. By recognizing the importance of striking a complexity-simplicity balance, understanding stakeh...

The Potential of Machine Learning in Handling Missing Data: Balancing Trade-Offs for Small Projects

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       Handling missing data is a significant challenge for analysts in their projects. Despite the availability of various techniques, such as omitting fields with missing data or imputing the missing values, ensuring accurate results from the curated data requires careful consideration. While analysts choose techniques based on project requirements, it is difficult to guarantee that they will yield the best possible results with the given dataset.   In many projects, analysts may have limitations in terms of time, resources, or the ability to explore multiple methods for handling missing data. Due to these constraints, they are often forced to select the best model among the few methods they were able to try. However, this limited bandwidth raises the concern of potentially missing out on better solutions.   In my personal experience, I find that Machine Learning-Based Methods have the potential to overcome the limitations of many conventional tec...

Integrating Human-Centered Principles in the Age of Artificial Intelligence

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     In recent years , Artificial Intelligence ( AI ) has emerged as a disruptive technology that is transforming many industries . AI promises to revolution ize healthcare , manufacturing and logistics operations by autom ating tasks and improving decision - making processes with the help of complex algorithms . However , it also raises important ethical considerations about how humans interact with machines in an automated world . As AI becomes increasingly embedded in human lives , there is an urgent need to ensure its integration follows Human - Cent ered Principles that prioritize safety and respect for privacy while ensuring its use benefits all stakeholders involved . The key principle of human - centered design involves putting people at the center stage when designing systems or services powered by artificial intelligence technologies ; taking into ...