WebJun 16, 2024 · Provide a brief description on your skills, interest, and what you bring to the table. Keep it short and simple! 3. Projects: This is probably one of the most important section. As an aspiring data scientist, a lot of us may not have previous work experience with a great company to showcase our skills. WebExperience in customer analytics, portfolio optimization, and risk/fraud (outlier detection) models. Design and implement Natural Language Processing models (NLP) with supervised and unsupervised techniques. - Knowledge in designing and analyzing user experience (UX), information architecture, usability tests for mobile and web apps. - Fan of ...
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