$240 / month
2 calls per month
Unlimited Q&A via chat
Expect responses in 3-4 days
No spots left, but you can save the mentor to your wishlist to get notified about their open spots!
One-off sessions are a great option if you’re looking for specific advice on a certain topic.
If you're looking for a mentor, and you're just not sure about how this all works – this one is for you. In a casual, informal introductory call, a mentor will introduce themselves, show you around the platform, explain how our mentorships work, and explain …
Having a good resume on hand when going on the job hunt is crucial, and will make your search a lot easier. Even if you're not looking for a new position right now, having an up-to-date CV that sells your experience to future potential employers …
This can cover any of the following, based on your needs: - Career coaching - Technical education - Coursework recommendations / assignments - Hands-On Help - Pair Work - Business Communication and & Strategy - Technical Architecture & Strategy We can outline the scope of …
Hi! I am a PhD data scientist and ML engineer with >5 years of exeperience at large and small companies covering software tech, biotech, and utilities. Before working in industry I published papers on neuroscience and computational neuroimaging. A summary of my industry experience: 1) I designed and built real-time ML apps for Intuit's QuickBooks, improving the product experience for over a million users. 2) led some cool projects at a biotech startup predicting neurological disease using computer vision, analytics, and ML. 3) Most recently I have been working as a technical lead in the utilities space, helping teams of data scientists and engineers to implement predictive maintenance using machine learning and computer vision.
As a mentor I like to focus on mentees on gaining mastery of the tools and approaches needed to build and manage a machine learning lifecycle end-to-end. For me, this covers three main skillsets: statistical competency, programming ability, and developer best practices. With those foundations, we then move to understand the stages of the lifecycle including business understanding, EDA, data cleaning, feature engineering, pipelineing, training, optimizing, deploying, testing, and monitoring. Finally, my philosophy is that the best learning comes from doing!
5 out of 5 stars
We are working with David on scientific applications of Machine Learning. Within a very short time and with minimally required information about the scientific tasks, David has given extremely valuable suggestions on how to apply Machine Learning algorithms, which approach to choose in this or the other case etc. Our cooperation allowed to boost the development of new methods of scientific data analysis, requiring application of various Machine Learning algorithms. Moreover, David gives valuable advice on how to approach the Data Science job market, ranging from scientific applications of Machine Learning in academia to the employment requirements in industry. Finally, it is worth mentioning that the projects that we discussed were finalized even earlier (and better) than initially expected!
5 out of 5 stars
David has been a pleasure! Patient and flexible. I definitely feel I am improving as a data scientist with his guidance.
5 out of 5 stars
David has been mentoring me for a couple months teaching ML fundamentals, mapping out coursework and assignments relevant to my goals of doing AI in neuroscience, and doing mock interviews. We are discussing math, statistics, going deeply in the details of Neural Networks and other topics. David's knowledge in all those subjects is really impressive. The sessions help me a lot - I feel like I am getting to a whole new level. That will definitely help me in the future. I often have to ask the same question several times, and David has enough patience to explain things to me in great detail. I have only great things to say about David's mentorship. I strongly recommend him. 5 stars!
We will send you a quick email if David has new open spots for mentorship, and only in that case!