E40 Wally Lo Faro, VP of Data Science at Mastercard

Today’s guest is Wally Lo Faro, VP of Data Science at Mastercard. Wally has successfully built the data science capabilities and team in MasterCard Operations and Technology over the past five years. He is responsible for applying advanced techniques for improving and maintaining data quality of very large data sets, information product ideation and development as well as applying data science principles for process improvement.

Wally has applied techniques from the areas of mathematics, machine learning, information retrieval, text analysis and statistics to design highly scalable approximate string matching systems, data quality monitoring and alerting systems, and fraud detection applications. He has also worked in designing marketing analytics and modeling environments, as well as building scalable and personalized recommendation engines.

In the episode, Wally will tell you about:

Interesting projects he is leading at Mastercard,

How his role has evolved in his 13 years with the company,

Transitioning from academia to industry,

3 ways you can get involved in AI and Data Science,

What the ideal Data Science team looks like,

How to successfully add business value from Data Science projects, 

and What he looks for in an interview

E39 Gokcen Aygenc, Director of Analytics at Blue Apron

Today’s guest is Gokcen Aygenc, Director of Analytics at Blue Apron. Founded in 2012, Blue Apron are reimagining the way that food is produced, distributed and consumed. Their core product is the cooking experience with original recipes designed along with fresh, seasonal ingredients directly to customers. They are building a better food system that benefits consumers, food producers and the planet.

Gokcen leads a team of data analysts to coordinate demand forecasting related inputs (brand marketing strategies, programs, promotional calendar, launches) for a reconciliation to the financial forecast and procurement schedule. Prior to her current role, she served as an executive at various business analysis roles at Quontigo, Blackberry, Acer, and Hewlett Packard in Istanbul, Dubai and New York.

In the episode, Gokcen will discuss:

Developing her technical and people skills within different cultures,

How to use predictive analytics effectively within your business,

What to look for in hiring Data Scientists,

The importance of trust and strong relationships with stakeholders,

How to apply Data Analytics successfully to improve the customer experience,

and Advice to Data Science Managers on how to maximise ROI.

E38 Ela Osterbeger, Director of Data Science at Deliveroo

Today’s guest is Ela Osterbeger, Director of Data Science at Deliveroo. Ela heads up the Data Science team that works on the Delivery algorithms, Consumer care, Experimentation platform and Rider pricing. Prior to exploring data on pizza and finding the fastest route from A to B on a bike, she ran a data team at The Guardian. Ela is passionate about developing Data Scientists and creating an inclusive work environment.

In the episode, Ela will discuss:

Developing her problem-solving skills,

Building trust & strong relationships with stakeholders,

Transitioning into a leadership role,

What she looks for when hiring Data Scientists,

Improving the customer journey at Deliveroo, 

and How AI & Data Science are impacting the delivery industry.

E37 Howard Friedman, Chief Data Scientist, Author and Columbia University Professor

Today’s guest is Howard Friedman, Chief Data Scientist, Author and Professor at Columbia University. Howard has a great interest in applying data science with specific experience leading teams in the corporate, academic and public sectors. He has created five startup companies, as well as serving as the director of a Fortune 100 company.

His industry experience has focused mainly on the healthcare, finance, telecommunications and retail sectors, including supporting operations areas of large private equity firms, His skills include leading analytic teams, communicating to senior executive and lay-audiences as well as teaching data science to technical and non-technical teams. He also enjoys writing data-related books.

In the episode, Howard will discuss:

What he loves about his job,

How to transition from academia to industry,

Showing executives how to successfully digitalize your business,

His passion for the potential of data & technology in healthcare,

Preparing for the real-world of data,

and Advice on how to start a career in Data Science.