Rank #1: Becoming a Data Scientist Podcast Episode 10 – Trey Causey
Trey Causey is a data scientist with a background in psychology and sociology who, like Renee, is from Virginia. He has worked as a data scientist at a range of companies from zulily to ChefSteps, and has also developed some interesting sports analytics projects, including the New York Times 4th Down bot. Trey also has advice for people wanting to start a career in data science.
May 01 2016
Rank #2: Becoming A Data Scientist Podcast Episode 02 – Safia Abdalla
In Episode 2 of the Becoming a Data Scientist Podcast, we meet Safia Abdalla, who started programming and even exploring machine learning and natural language processing as a teenager, and is now a student at Northwestern University, a conference speaker and trainer, co-organizer of PyLadies Chicago, and a contributor to Project Jupyter.
Jan 04 2016
Rank #3: Becoming a Data Scientist Podcast Episode 06 – Erin Shellman
In this episode, Renee interviews Bioinformatics PhD and Data Scientist Erin Shellman about her path to becoming a data scientist, including jobs at Nordstrom Innovation Lab and zymergen. Erin discusses school, job interviews, teaching, and eventually getting to do data science within her field of scientific expertise.
Feb 29 2016
Rank #4: Becoming a Data Scientist Podcast Episode 11 – Stephanie Rivera
Stephanie Rivera has worked in machine learning and data science for academic research (at University of Tennessee), for the government (Department of Defense), for a large consulting firm (Booz Allen), and now for a startup (MyStrength). In the interview, she discusses her career path, her experiences with mentorship, and her role in authoring The Field Guide to Data Science and the Explore Data Science online course.
Jun 02 2016
Rank #5: Becoming a Data Scientist Podcast Episode 08 – Sebastian Raschka
Renee interviews computational biologist, author, data scientist, and Michigan State PhD candidate Sebastian Raschka about how he became a data scientist, his current research, and about his book Python Machine Learning. After the interview, Sebastian explains k-fold cross-validation for the Data Science Learning Club model evaluation activity.
Apr 01 2016
Rank #6: Becoming A Data Scientist Podcast Episode 03 – Shlomo Argamon
In Episode 3 of the Becoming a Data Scientist Podcast, we meet Shlomo Argamon, who is the founding director of the Master of Data Science program at Illinois Institute of Technology. He talks to us about his path to data science, including research in robotic vision and natural language processing, we discuss the traits of a good data science student, and he gives some advice for those of us learning data science.
Jan 18 2016
Rank #7: Becoming a Data Scientist Podcast Episode 07 – Enda Ridge
Data Scientist, Author, and manager of data science teams Enda Ridge talks to us about data governance, data provenance, reproducible analysis, work pipelines and products, and people, among other topics covered in his book “Guerrilla Analytics – A practical Approach to Working with Data: The Savvy Manager’s Guide”.
Mar 15 2016
Rank #8: Becoming a Data Scientist Podcast Episode 09 – Justin Kiggins
Justin Kiggins, who calls himself a “full stack neuroscientist” talks to Renee about how he started as a musician majoring in music therapy, switched to mechanical engineering, and eventually made his way via biomedical engineering and neuroscience to study auditory perception and the brains of communicating birds.
Apr 12 2016
Rank #9: Becoming A Data Scientist Podcast Episode 04 – Sherman Distin
In Episode 4 of the Becoming a Data Scientist Podcast, we meet Sherman Distin, owner of analytics consulting firm QueryBridge. We discuss his primarily self-taught path to learning the data science techniques he uses to find business insights in marketing data, and he also tells us what he thinks is the most important trait he looks for in data scientists.
Feb 02 2016