Machine Learning, Data analytics and AI

  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...

       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...