I provide advice and prototyping to companies considering a data science or analytics effort, and training programs to move software engineers into data science roles, which can be a very cost-effective addition to the recruiting pipeline. I would be pleased to discuss the potential benefits at your company.
I have made some conference presentations on these and related topics.
If you are an individual wanting to develop your own proficiency in the data science field, outside of a formal Ph.D. program, I recommend studying the following books:
Additional book reviews are available on my page at Goodreads.
I advise you to study Data Science, a broad field, not Machine Learning, a narrow one. The latter, as it is currently taught, covers specifically algorithmic work to reduce errors in future predictions. You need to know about correctly running experiments, assessing business opportunities, developing an intuition for your problem, and determining importance and causality, which are the tasks that most businesses actually need done, not a mediocre implementation of image classification.
I welcome correspondence regarding collaboration on these topics.
You can reach me at . If you can't see that address, you can take my first name, an at-sign, and then the domain you are currently viewing. I am usually able to reply to most inquiries from those seeking career advice. Recruiters, please understand that I am not available as a full-time employee, and ensure that your client is amenable to a consulting arrangement prior to contacting me.
Some interesting things I have done, of an avocational nature:
Many of my other projects are now obsolete and of interest to essentially no-one; they are here for search engines to crawl and to avoid breaking existing deep links: