Cheng Qian has a Master’s degree in statistics. He’s currently with IBM as a machine
learning engineer for conversational language understanding team under Watson
Assistant, working on NLP algorithms. Before that, Cheng has spent 5 years at financial
institutions(RBC, CIBC, BNS) as a data scientist. He loves to sharing this experience
with mentees about career, and machine learning and coding in general!
Find your sweet spot where passion, talent and money converge, start with a role in an industry
Practice live coding with laser focus, keep warm on visualization and storytelling
Recommend bullets based on role and industry for 4 blocks (summary + skills + projects + experience)
A collection of 3-6 projects, each has 5 blocks (overview + objective + KPIs + data model + dashboard)
Find the right number of quality jobs matching your search, and save them into the job tracker
Get referred directly to hiring managers and compete with 3 candidates instead of 300
Predict the right questions and design the conversation with compelling stories
Get used to the pressure through intensive mock interviews, provide actionable feedback, help mentees reach peak performance
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