Chanin Nantasenamat is behind the very successful YouTube channel Data Professor. He is an actual professor with a background in working in academia in the field of bioinformatics. Since the beginning of the pandemic he has started his brand Data Professor and has been taking the data science scene by storm. We talked about his background, how he d…

Amazon has many services and one of the biggest products they have is AWS. It stands for Amazon Web Services and is a cloud services platform. As part of their cloud services platform, Amazon also has skilled data scientists helping their clients implement data science solutions effectively and efficiently. In this episode, I talk to one such data …

There are many ways to get a data science job and on this episode we hear a very interesting one! Khuyen Tran is a student and a data scientist who got her first job before even graduating. On top of other things, we learn how this was possible. She shares her tips on how to stay engaged in the data science field and how to improve oneself by doing…

Communities all over the world are on the rise. People want to connect with others that they have shared values with. People in these communities help their fellow members with hard times, follow each other's journeys and are there for each other through challenges. One such great community is Women in Data. Its goal is to increase diversity in dat…

Yes, government agencies use AI too! When you think about it, with the gigantic amount of data they have, no wonder they need machine learning solutions to deal with their problems. And if you're passionate about working for the government or at least supporting it, this could be a great alternative for you! This week on the show I have Nicole Jane…

This week on the show I have Mikiko Bazeley. She is currently busy co-founding Sidewalk.ai, an AI based solution for residential real-estate. Her path to founding a company hasn't been very straightforward though. She has worked in many different companies, in many different domains before she got to where she is today. Her story is a great example…

Data Scientists are in demand and that's why becoming a data scientist is also in demand. Though many times what people have in mind when they think of becoming a data scientist is working at a company, with a boss. This doesn't have to be the case for everyone though. Ways you can do data science and in general, careers in data are too many to cou…

A consultant’s life is an exciting one. You get to experience many different industries, domains and technologies. It tends to be high-paced and at times stressful but if you like the kind of work you do, it is rewarding. Rossy is one such consultant. She works for a very big multinational tech consultancy firm. She specializes in finance and banki…

As a person who looked for jobs in the remote workspace before the pandemic, I can say, it is not easy. Fully remote companies tend to be, simply, super cool and have great culture. That’s why they get a lot of applications. This in turn makes the space super competitive. When I, “re-met” Ceren 6-7 months ago, she was also looking for remote work. …

This week I welcome Jayeeta Putatunda on the show! Jayeeta is a senior data scientist specialising in Natural Language Processing and Machine Learning solutions at Indellient Inc. in New York. She is equipped with all the skills a data scientist can have and works on very interesting projects with Fortune 100 companies. But of course, this doesn't …

One of the biggest worries before changing to data science is inexperience. It's natural to think that what you're doing right now is not relevant and that it's too late for you to switch to data science. But what you work on now does not stop you from pursuing a career in data science. In this episode, we learn about Meg's transition into data sci…

Doing a PhD is a great way to dive very deeply into a topic you're passionate about. When it comes to AI there is no shortage of interesting topics. If you don't want to have the limitation of a company that needs to make profits and want to satisfy your curiosity about your passion, doing a PhD might be just the thing for you. This week I'm interv…

Curious about how data science and machine learning contributes to renewable energy research? In this episode, Sakshi Mishra from the National Renewable Energy Laboratory (NREL) joins me to talk about her journey and her work. NREL is part of the United States Department of Energy and its main goal is to innovate on renewable energy and energy effi…

Sometimes it’s hard to imagine a vast variety of jobs where data science skills and machine learning are used. So, we end up defaulting to a data scientist position. Shivali Goel’s job is an excellent example of a non-data scientist title where data science skills are highly used. Shivali is a globalisation engineer at Adobe. She works on making su…

Yaakov is a data scientist and theatre producer. He has experience working in start-ups and more recently as a free data scientist ready to make trouble. He has worked on some very interesting projects bringing art and data science together. We talk about his experience working in start-ups, how he comes up with his projects now and what he works o…

Nikola and Petr both work for the same company in Prague. DataSentics, where they work, has a wide selection of projects and a very interesting portfolio. As part of their jobs as data scientists, Nikola and Petr not only implement machine learning models for their clients but also act as consultants and help them from start to end of creating a wh…

On this week's episode, I welcome Katia Stambolieva, proud co-founder of the space tech company NinaSpace and a freelance data scientist. In NinaSpace, Katia and the team work on detecting wildfires from space and warn governments on time to mitigate the negative effect of these unexpected events. Apart from her work at her company, she also does f…

In this week's episode, Jigyasa Grover of Twitter joins me to talk about her career and machine learning engineering. She shares her journey of becoming a machine learning engineer and the steps she took throughout the years. We dive deeper into the types of projects she works on, how she works with her team at Twitter and what she loves about her …

In this episode, we look into one of the many data-related titles: product analyst. Kasia Rachuta is a product analyst at Square, a financial services company in San Francisco. She also held data science positions before and is able to compare the two easily. We talk about how being a product analyst differs from being a data scientist, what her da…

Samantha joins me to talk about her career in the fourth episode of So you want to be a data scientist. She is a senior data scientist at Sentry.io in San Francisco. We talk about her journey from academia to business. We also discuss her daily responsibilities and what being a senior data scientist changed for her. Samantha has really helpful insi…

Melissa is a technical writer at Uber working specifically for the machine learning team. In this episode we get to learn more about technical writing and what this job entails. Melissa talks about her journey of becoming a technical writer, shares the kind of tasks she performs day-to-day and informs us about the career path of a technical writer.…

Data science can take many shapes and forms. It is important to get insights from people working in different industries, different sized companies and different roles. In this episode, Víctor García Cazorla joins me to share his data science story. He works at ABN AMRO, one of the major banks in the Netherlands. He shares his experience of working…

Madli is a former colleague of mine who is currently working for a new exciting start-up called Pactum. She is an entrepreneur at heart and a badass data scientist with a background in social sciences. She worked in many cool projects during her time at IBM and has 3 years of first hand experience of working with clients. In this episode, she will …