We talked about:

Polina's background How common it is for PhD students to build ML pipelines end-to-end Simultaneous PhD and industry experience Support from both the academic and industry sides How common the industrial PhD setup is and how to get into one Organizational trust theory How price relates to trust How trust relates to explainability The importance of actionability Explainability vs interpretability vs actionability Complex glass box models Does the explainability of a model follow explainability? What explainable AI bring to customers and end users Can all trust be turned into KPI?

Links:

LinkedIn: https://www.linkedin.com/in/polina-mosolova/ Neural Additive Models paper: https://proceedings.neurips.cc/paper/2021/file/251bd0442dfcc53b5a761e050f8022b8-Paper.pdf Neural Basis Model paper: https://arxiv.org/pdf/2205.14120.pdf Interpretable Feature Spaces paper: https://kdd.org/exploration_files/vol24issue1_1._Interpretable_Feature_Spaces_revised.pdf

We talked about:

Jekaterina’s background How Jekaterina started freelancing Jekaterina’s initial ways of getting freelancing clients How being a generalist helped Jekaterina’s career Connecting business and data How Jekaterina’s LinkedIn posts helped her get clients Jekaterina’s work in fundraising Cohorts and KPIs Improving communication between the data and business teams Motivating every link in the company’s chain The cons of freelancing Balancing projects and networking The importance of enjoying what you do Growing the client base In the office work vs working remotely Jekaterina’s advice who people who feel stuck Jekaterina’s resource recommendations

Links:

Jekaterina's LinkedIn: https://www.linkedin.com/in/jekaterina-kokatjuhha/

Join DataTalks.Club: https://datatalks.club/slack.html

We talked about:

Adam’s background Adam’s laser and data experience Metrics and why do we care about them Examples of metrics KPIs KPI examples Derived KPIs Creating metrics — grocery store example Metric efficiency North Star metrics Threshold metrics Health metrics Data team metrics Experiments: treatment and control groups Accelerate metrics and timeboxing

Links:

Domino's article about measuring value: http://blog.dominodatalab.com/measuring-data-science-business-value Adam's article about skills useful for data scientists: https://towardsdatascience.com/how-to-apply-your-hard-earned-data-science-skillset-812585e3cc06 Adam's article about standing out: https://towardsdatascience.com/how-to-stand-out-as-a-great-data-scientist-in-2021-3b7a732114a9

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html