#11 - Data Science in Research with Sakshi Mishra

So you want to be a data scientist?

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Netflix Sports Club Podcast

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America’s Sweethearts: Dallas Cowboys Cheerleaders Season 2 - Tryouts, Tears, & Texas 32:48

29 روز پیش32:48

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32:48

America’s Sweethearts: Dallas Cowboys Cheerleaders is back for its second season! Kay Adams welcomes the women who assemble the squad, Kelli Finglass and Judy Trammell, to the Netflix Sports Club Podcast. They discuss the emotional rollercoaster of putting together the Dallas Cowboys Cheerleaders. Judy and Kelli open up about what it means to embrace flaws in the pursuit of perfection, how they identify that winning combo of stamina and wow factor, and what it’s like to see Thunderstruck go viral. Plus, the duo shares their hopes for the future of DCC beyond the field. Netflix Sports Club Podcast Correspondent Dani Klupenger also stops by to discuss the NBA Finals, basketball’s biggest moments with Michael Jordan and LeBron, and Kevin Durant’s international dominance. Dani and Kay detail the rise of Coco Gauff’s greatness and the most exciting storylines heading into Wimbledon. We want to hear from you! Leave us a voice message at www.speakpipe.com/NetflixSportsClub Find more from the Netflix Sports Club Podcast @NetflixSports on YouTube, TikTok, Instagram, Facebook, and X. You can catch Kay Adams @heykayadams and Dani Klupenger @daniklup on IG and X. Be sure to follow Kelli Finglass and Judy Trammel @kellifinglass and @dcc_judy on IG. Hosted by Kay Adams, the Netflix Sports Club Podcast is an all-access deep dive into the Netflix Sports universe! Each episode, Adams will speak with athletes, coaches, and a rotating cycle of familiar sports correspondents to talk about a recently released Netflix Sports series. The podcast will feature hot takes, deep analysis, games, and intimate conversations. Be sure to watch, listen, and subscribe to the Netflix Sports Club Podcast on YouTube, Spotify, Tudum, or wherever you get your podcasts. New episodes on Fridays every other week.…

۵ سال پیش 39:28

M4A•خانه قسمت

We talk about how the lab comes up with research projects to work on, how she uses ML in these projects and how these projects are used in the real world. Apart from her work, we also talk about how she ended up where she is and what qualification she needed to get this job that quite honestly, sounds very dreamy.

Give it a listen to get inspired about applications of ML in research!

‍

24 قسمت

#Careers #Business #Misra Turp

#11 - Data Science in Research with Sakshi Mishra

So you want to be a data scientist?

11 subscribers

published ۵ سال پیش

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M4A•خانه قسمت

Give it a listen to get inspired about applications of ML in research!

‍

24 قسمت

#Careers #Business #Misra Turp

همه قسمت ها

1
A look into the world and future plans of Data Professor 30:07

۳ years پیش30:07

30:07

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 decided to start his YouTube channel, how he built his YouTube channel to the size it is now, what future plans he has, his role at Streamlit and advice he can give to aspiring data science practitioners. Data Professor YouTube channel: https://www.youtube.com/c/DataProfessor Data Professor on Twitter: https://twitter.com/thedataprof Chanin's Data Science Landscape: https://twitter.com/thedataprof/status/1557407932060663808…

1
#22 - Being a data science consultant at Amazon with Naz Levent 43:40

۴ years پیش43:40

43:40

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 scientist: Naz Levent. Naz has been with Amazon for more than two years and has been part of some exciting projects in fashion, energy and entertainment industries. She even worked for F1 on a prominent project whose results were broadcast to hundreds of thousands of F1 followers. She shares with us how she got into data science, how she got her first job, what her days look like and why she loves her job. She has some unusual and great advice on how to get ready for a data science career. Take a listen! And don't forget to go check out my courses at soyouwanttobeadatascientist.com/roadmap…

1
#21 - Working as a data science while still studying with Khuyen Tran 23:16

۴ years پیش23:16

23:16

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 hands-on projects. She tells me all about how she got her first job as a data scientist while still studying, how her writing on Medium brought a lot of opportunities to her foot, what resources she used to gain new skills and more! Khuyen's is a great story to understand what to focus on when aiming to become a data scientist. She has some great advice on how to approach the whole data science field and how to think about learning new concepts. Do not miss this episode! Khuyen's medium account - khuyentran1476.medium.com/ Hands-on Data Science: Complete your first portfolio project course (previously Master the Data Science Method) - soyouwanttobeadatascientist.com/hods Free Pandas cheat sheet - soyouwanttobeadatascientist.com/pandas-cheat-sheet…

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#20 - A look into Women in Data with Sadie St. Lawrence 33:18

۴ years پیش33:18

33:18

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 data careers. But it’s more than a community. It “provides awareness, education and advancement to women in the tech industry - specifically in analytics, data science, machine learning and artificial intelligence” in their words. Behind this organization is Sadie St. Lawrence. And she has a very interesting story on how this all got started. Being the only woman in her studies, Sadie felt the need for a community and built one from the ground up to help others who felt like her. Now, in just 5 years, Women in Data is active in 11 countries. Sadie is a data practitioner herself who has a background in data science and consultancy. In this episode, we talk about: Her journey into data science, how to approach getting into a data career, her advice for aspiring data scientists, what programs Women in Data has for aspiring data scientists, how to get in touch and become a part of the organization and much more! Don’t miss this awesome episode! Women in data website - https://www.womenindata.org/ Women in data YouTube channel - https://www.youtube.com/channel/UCwMkDNVrU2Vzc0dlJSdl7ww Hands-on Data Science: Complete your first portfolio project course - https://www.soyouwanttobeadatascientist.com/hods Data Science Kick-starter mini-course - https://www.soyouwanttobeadatascientist.com/courses/data-science-kick-starter-mini-course…

1
#19 - Helping the government work better with AI with Nicole Janeway Bills 42:22

۵ years پیش42:22

42:22

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 Janeway Bills. She works for Atlas Research, a consultancy firm that specializes in providing technical support to accomplish strategic transformations, improved performance, and enhanced service delivery for federal organizations in the US. After realizing her passion in data analytics, Nicole followed her heart and started the journey that brought her to where she is today. Currently, Nicole's work involves Natural Language Processing and the latest technologies in AI which she admits to really enjoy. We talk about how she decided to become a data scientist, what qualifications she went through, how she landed her first job, the future of AI and much more. Nicole has some great advice for anyone who is thinking of jumping into a career switch. Don't miss it! Here is Nicole's medium page where she writes about her learnings and current state of AI: https://nicolejaneway.medium.com/ Nicole's article on Python (from 30:07): 10 Underrated Python Skills Hands-on Data Science: Complete Your First Portfolio Project course : https://www.soyouwanttobeadatascientist.com/mdsm…

1
#18 - An unconventional path to founding an AI Start-up with Mikiko Bazeley 29:35

۵ years پیش29:35

29:35

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 of trying on different things and learning from your experiences to build yourself a life and a career that fulfills you. We talk about sidewalk.ai, her story of becoming a data scientist, the projects she's involved with and the future of AI. Mikiko also shares her advice for aspiring data scientists on how they can turn their career around in the direction they want. --- Hands-on Data Science: Complete your first portfolio project course - https://www.soyouwanttobeadatascientist.com/hods Data Science Kick-starter mini-course - https://www.soyouwanttobeadatascientist.com/courses/data-science-kick-starter-mini-course…

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#17 - Starting a business on data with Susan Walsh, The Classification Guru 43:01

۵ years پیش43:01

43:01

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 count. If you're really passionate about what you're doing and you value freedom above all else, like Susan, you might even start your own business and become your own boss. Susan, also known as, The Classification Guru started her business after she realised that there is a gap in the market for people who would tidy up your data for you and make it ready for analysis. And now, her business is flourishing. She gets to work with fun use cases, have fun making marketing content for her work and make money on top of it. In this episode we talk about her journey building her business, how she came up with an idea, what kind of services she offers to her clients, how she likes her job and many more things! Tune in to learn more about the possibility of starting your own business and to get some inspiration! The Classification Guru website - https://www.theclassificationguru.com/ The Classification Guru YouTube channel - https://www.youtube.com/channel/UCfrWRbL-zeEZsHwjYhj3v_A/videos --- Hands-on Data Science: Complete your first portfolio project course - https://www.soyouwanttobeadatascientist.com/hods Data Science Kick-starter mini-course - https://www.soyouwanttobeadatascientist.com/courses/data-science-kick-starter-mini-course…

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#16 - Being a data scientist in a multinational tech consultancy with Rossy Nhung Nguyen 23:58

۵ years پیش23:58

23:58

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 banking industries but has become part of other types of projects too. Rossy joins me this week to discuss how she got to her position as a consultant data scientist, what she does day to day and what kind of projects she participates in. We also talk about why she chose data science, what she likes most about her job and much more. Tune in to learn more about what you can expect from a consultancy position! --- Hands-on Data Science: Complete your first portfolio project course - https://www.soyouwanttobeadatascientist.com/hods Data Science Kick-starter mini-course - https://www.soyouwanttobeadatascientist.com/courses/data-science-kick-starter-mini-course…

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#15 - Finding remote work and life of a machine learning engineer with Ceren İyim 26:39

۵ years پیش26:39

26:39

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. In the meantime, she actually found a remote position at an awesome company called Data Revenue and has been with them for the past couple of months. In this episode, we hear how Ceren changed her career from being a logistics consultant to a machine learning engineer, which resources she used to learn data science, how she got her current position, her projects and more. It's fair to note that with the latest developments in the world, as in a global pandemic, companies started seeing that remote work is actually possible. A lot of businesses have been temporarily or some even permanently moved to a remote working style. As a result, a lot of new opportunities for remote work opened up! This will make remote positions more accessible to a wider array of workers in the coming years. If you're interested in getting a remote position, let's hear it from Ceren who has been through it all! --- Hands-on Data Science: Complete your first portfolio project course - https://www.soyouwanttobeadatascientist.com/hods Data Science Kick-starter mini-course - https://www.soyouwanttobeadatascientist.com/courses/data-science-kick-starter-mini-course…

1
#14 - Economics to Data Science with Jayeeta Putatunda 33:57

۵ years پیش33:57

33:57

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 happen overnight. We talk about why she decided to pursue data science, how she got to where she is and how she studied to become a data scientist. She has some great advice for anyone who is looking to get into data science. Take a listen to see what the path to data science looks like for someone whose starting point is economy! --- Hands-on Data Science: Complete your first portfolio project course - https://www.soyouwanttobeadatascientist.com/hods Data Science Kick-starter mini-course - https://www.soyouwanttobeadatascientist.com/courses/data-science-kick-starter-mini-course…

1
#13 - From ecology research to data science with Meg Thomason 44:23

۵ years پیش44:23

44:23

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 science after years in academia. Meg is a senior data scientist at Spin, an e-scooter sharing company. She has started her work-life in ecology research. After working in academia for a while, she decided to change the course of her career and took the leap towards data science. We talk about her journey, the resources she used, her work life, daily challenges she faces and much more in this episode. Don't miss it! --- Hands-on Data Science: Complete your first portfolio project course - https://www.soyouwanttobeadatascientist.com/hods Data Science Kick-starter mini-course - https://www.soyouwanttobeadatascientist.com/courses/data-science-kick-starter-mini-course…

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#12 - Life as a PhD student working working on AI with Selene Báez Santamaría 37:16

۵ years پیش37:16

37:16

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 interviewing Selene Báez Santamaría. Selene is a PhD student working on interaction between humans and robots. We discuss her journey towards starting a PhD, how she acquired her knowledge, what she did before starting her PhD and the details of her research. We also talk about how PhDs work, who it is for and how can you steer your career towards academia.…

1
#11 - Data Science in Research with Sakshi Mishra 39:28

۵ years پیش39:28

39:28

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 efficiency. We talk about how the lab comes up with research projects to work on, how she uses ML in these projects and how these projects are used in the real world. Apart from her work, we also talk about how she ended up where she is and what qualification she needed to get this job that quite honestly, sounds very dreamy. Give it a listen to get inspired about applications of ML in research! ‍…

۵ years پیش31:31

31:31

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 tell us about her journey into data science, why she chose to follow this path and the projects she worked on. --- Hands-on Data Science: Complete your first portfolio project course - https://www.soyouwanttobeadatascientist.com/hods Data Science Kick-starter mini-course - https://www.soyouwanttobeadatascientist.com/courses/data-science-kick-starter-mini-course -------- Music by: Kevin MacLeod Link: https://incompetech.filmmusic.io/song/3986-lobby-time License: http://creativecommons.org/licenses/by/4.0/…

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#11 - Data Science in Research with Sakshi Mishra

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#11 - Data Science in Research with Sakshi Mishra