3 Data Science Projects That Got Me 12 Interviews. And 1 That Got Me in Trouble.
Lessons Learned from a Data Scientist’s Job Hunting Experience
A Tale of Four Projects
Embarking upon the odyssey of job hunting in the realm of data science, I discovered a truth many professionals understand too well: the power of a potent portfolio. The tangible proof of your capability to manipulate data, uncover hidden insights, and construct compelling narratives can significantly boost your appeal in the eyes of potential employers. Today, I shall take you through four of my data science projects — three of which unlocked doors to twelve interviews and one that unexpectedly ignited a quandary.
Project 1: The Intricacies of Social Media Analysis
“Analyzing User Sentiment and Engagement on Twitter”
Social media is the pulsing heart of modern communication, a veritable gold mine of data. My first project aimed to glean insights from Twitter, delving deep into user sentiment and engagement. I applied natural language processing (NLP) and machine learning to analyze public sentiment and user engagement. Learn more about the project here.
