Show Notes:

• (2:04) Conor recalled his undergraduate experience studying Computational Modeling and Data Analytics at Virginia Tech.


• (4:07) Conor emphasized the importance of learning data structures and algorithms for interview prep.


• (5:57) Conor mentioned his Data Analytics internship at MasterCard after his sophomore year.


• (7:35) Conor talked about his involvement with the Bio-Complexity Institute at Virginia Tech as a Computational Research Intern during his junior year.


• (8:58) Conor talked about his process of compiling a big list of data science internship job postings that he shared last year.


• (12:09) Conor went over his Medium post called “Insights from Analyzing 80+ Job Rejections in Python” in which he talked about his coping mechanism towards failure.


• (15:20) Conor discussed his Data Science internship at Unity Technologies out in the Bay Area after his junior year.


• (17:22) Conor went over key lessons presented in his blog post “5 Lessons from a Data Science Intern at a Tech Unicorn.”


• (23:20) Conor emphasized the importance of having conversations with colleagues to challenge your assumptions.


• (24:54) Conor addressed the premise of his article “Minimum Viable Analysis.”


• (27:30) Conor discussed his job search process for a full-time data science position.


• (29:40) Conor talked about the projects he has been working on at his current employer - Squarespace.


• (32:28) Conor shared his opinions on the difference in the data science communities in New York and San Francisco.


• (34:32) Conor shared 3 key insights on acing data science interviews.


• (38:52) In reference to his article “10 Reads for DS Getting Started with Business Models”, Conor shared his advice for data scientists to get better at communicating with the business folks.


• (41:17) Conor talked about his part-time involvement with DataCamp to design an interactive online course for data scientists.


• (43:30) Conor talked about his weekly newsletter with more than 1,000 subscribers.


• (48:07) Conor shared his curiosity for idea sharing and development.


• (49:51) Closing segments.

His Contact Info:

• Website


• LinkedIn


• Twitter


• Medium


• Github

His Recommended Resources:

• Ted Talk: What I learned from 100 days of rejection


• 13 Essential Newsletters for Data Scientists


• Data Skeptic podcast


• Data Scientists are Thinkers


• Netflix Tech Blog


• Uber Engineering Blog


• Stitch Fix Tech Blog


• Facebook’s Prophet forecasting procedure


• Spotify’s Luigi Python module


• Thinking Fast and Slow

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