Abstract: 

Thousands of Data Science aspirants today are choosing Data Science as a career today. There is a huge demand for Data Scientists across Industries but still, we see a colossal gap between opportunities and skilled Data Scientists. It’s time to introspect where the Learning collides with Relevancy in this field.
I will be walking through mental models to follow as a learning framework if you are choosing Data Science as a career and how can you be in the Top 10% Data Scientists in the world.

Bio: 

Chirasmita is a Principal Data Scientist with G2. Active Researcher in Natural Language Processing , With a career spanning across SaaS, Healthcare, Semiconductor domains. Associated with Google Techmakers Mentor with Springboard, Speaker at Women in Data Science, Women in AI, Girls Who Code, Grace Hopper Celebration for Women in computing. Teaches NLP through her Monthly Masterclass.
Her research specialties are
- Natural Language Processing applied to Search and Personalization
- Machine Translation, Question Answering Systems
Her goal is to make humans and machines agree to the meaning of things. She is actively exploring ways to democratize Data Science learning to beginners in this space and make it actionable.