Data Science Interviews

Interview with Shruti Jadon, Machine Learning Software Engineer, Juniper Networks inc.

We thank Shruti Jadon from Juniper Networks inc for taking part in the Data Science Interview Series. This interview with Shruti specifically targets the beginners into Data Science; the dos and the don’ts they need to keep in mind. Shruti also shares some insights from her experience that will help you make the right decisions […]

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Interview with Siddharth Uppal, VP – Fraud Risk Officer, Digital Channels, Citibank N.A.

We thank Siddharth Uppal from Citibank N.A. for taking part in this interview and sharing his experience as a Data Scientist in the Banking & Finance domain. Siddharth being from a Mechanical Engineering background found his way into the finance domain and soon realized the importance of Data Science & AI in the Fintech industry.

Interview with Siddharth Uppal, VP – Fraud Risk Officer, Digital Channels, Citibank N.A. Read More »

Data Science: Interview with Djamila Amimer, CEO of Mind Senses Global

We thank Djamila Amimer from Mind Senses Global for taking part in the part of the Data Science Interview Series 2020. How did you first get into data science? My first encounter with data science started when I was studying for my first degree on Operations Research at university. Back then I studied a comprehensive range

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Interview with Tim Schwuchow, Data Science Lead at Premise Data

We thank Tim Schwuchow from Premise Data for taking part in the part of the Data Science Interview Series 2020. How did you first get into data science? I’m a reformed academic. I spent too much in grad school and did coding projects on my own and loved doing my own statistical analysis. I fell in love with it

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Interview with Heather Krieger, Principal Data Scientist and Team Lead, Savi Technology

We thank Heather Krieger from Savi Technology for taking part in the part of the Data Science Interview Series 2020 and sharing her story of how she got into data science along with her views on ethics and data science and several insights and advices for beginner data scientists. At what point did you realize that

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Interview with Pratap Malladi, Senior Consultant – Marketing & Data Science, 360DigiTMG

How did you first get into data science? By the time I started looking into DATA SCIENCE, I was Sr Business manager working on Mobile Internet & AI Products for a prestigious company in Pune and other side reporting, analysis is being part and parcel of my professional career journey, what I feel is with

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Interview with Ganna Pogrebna, Lead for Behavioral Data Science, Alan Turing Institute

Ganna Pogrebna is a researcher at The Alan Turing Institute. She hosts a behavioural data science podcast and has recently been nominated as one of the AI Time Journal inspiring data scientists to follow in 2020. We thank Ganna for taking part in the Data Science Interview Series 2020 and sharing several insightful reflections from her experience, including:

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Interview with Prajit Datta, AI Research Scientist, AFRY

We thank Prajit Datta from AFRY for participating in the Data Science Interview Series and sharing several insights, including: How his team used AI to develop a social distancing tool to be used during times of pandemic. His advices to beginners in data science who are starting out their careers. How did you first get

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Interview with Rohan Rao, Data Scientist at H2O.ai

Rohan Rao is a data scientist, a Kaggle Grandmaster, and a 16-time National Sudoku/Puzzle Champion [Wikipedia]. We thank Rohan for taking part in the Data Science Interview Series 2020 and sharing several insights on the workflow and attitude of a top perfomer in data science, including:1. How he keeps learning in an extremely rapidly advancing field.2.

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Interview with Bob Bress, Head of Data Science, Freewheel, A Comcast Company

We thank Bob Bress for participating in the Data Science Interview Series 2020 and sharing his insights and experience as the Head of Data Science in a large organization, including: The importance of acquiring business domain knowledge for data scientists, and how to do it. How data scientists can get their message heard within their organization. How

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