PinnedPublished inTowards Data ScienceHow to Stay Ahead as a Data Analyst..and make yourself relevant and competitive in the professional marketJan 31, 202310Jan 31, 202310
Published inTowards Data ScienceExploring Time-to-Event with Survival AnalysisIntroduction of Survival Analysis and its application in PythonNov 12, 20233Nov 12, 20233
Published inTowards Data ScienceLegal and Ethical Perspectives on Generative AIExploring the implications of AI-generated content from the legal and ethical aspectsAug 25, 20233Aug 25, 20233
When a Data Analyst makes a mistakeMistakes can happen anywhere, including at work. Here’s how I cope and learn from them.Jun 17, 20232Jun 17, 20232
Published inTowards Data SciencePrompt Engineering GuidePrinciples, Techniques, and Applications to Harness the Power of Prompts in LLMs as a Data AnalystMay 7, 20231May 7, 20231
Published inTowards Data ScienceGuide to Successful ML Model Deployment for Data AnalystsHow data model deployment differs from other analytics projectsApr 11, 20231Apr 11, 20231
Published inProduct CoalitionCustomer Lifetime Value ExplainedWays to calculate Customer Lifetime Value (CLV) and adjust your product priorities.Mar 5, 20233Mar 5, 20233
Published inTowards Data SciencePitfalls in Product ExperimentationCommon to-not-do-lists often overlooked in product experimentation causing poor and unreliable resultsJan 17, 2023Jan 17, 2023
Published inTowards Data ScienceLife Lessons I Learned from Working as a Data AnalystIt starts with following the curious mindOct 24, 2022Oct 24, 2022
Published inTowards Data ScienceImage (Meta)data Feature Extraction in PythonExploring the metadata and color-related features of a photo image for further use in Analytics and MLSep 20, 2022Sep 20, 2022
