Research Impact: Insights into Vaibhava's research on knowledge graphs, machine intelligence, IoT, and stock price forecasting, including challenges and rewards in transforming research into publications.
Community Engagement: Experiences and impact of roles as an ambassador for Women in Data Science, Pie and AI, and Adobe, and strategies for balancing tech education promotion with community connections.
Integration of Skills: How diverse coursework in machine learning, NLP, data manipulation, and time series analysis is applied to current projects and research, and the influence of specific courses or concepts on problem-solving.
Internship Experience: How various internships in AI and data science have shaped Vaibhava's problem-solving approach and the balance between learning from different environments and contributing effectively to projects.
LinkedIn Success: Strategies for gaining a large following and becoming a top AI voice on LinkedIn.
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