I have been studying the art of making Data useful for two years now and I do not think that I know it well. But what I do know is that we all are unable to apply the principles into business and drive it. There is a big knowledge-action gap, there is data but it is lying useless. Being a Data Scientist means having the ability to inspire. Data Science is the overlap of so many domains, and I believe that one should touch all of them and learn how to use them. Data Scientists connect, combine and curate. Now for my tech stack, I have working knowledge of the following tools: Power BI, Power Automate, Power Apps Canvas, Azure Web App Services, Fast API, Azure Machine Learning, Azure SQL Server, Azure Devops, Azure ML Drift Analysis and Explainability, IBM AI Fairness 360, Python, NLP Stack ( HF, SpaCy, NLTK, Stanza), ML Stack (Sklearn, Numpy, Matplotlib, Pandas, Dask, ,Datatable), DL Stack (Tensorflow), DB Stack (MySQL, MongoDB, SQL Server).
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