The Effective Data Scientist podcast

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コンテンツは Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャストコンテンツは、Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi またはそのポッドキャストプラットフォームパートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。

In Her Ellement

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Navigating Career Pivots and Grit with Milo’s Avni Patel Thompson 26:18

約 27 日前26:18

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26:18

How do you know when it’s time to make your next big career move? With International Women’s Day around the corner, we are excited to feature Avni Patel Thompson, Founder and CEO of Milo. Avni is building technology that directly supports the often overlooked emotional and logistical labor that falls on parents—especially women. Milo is an AI assistant designed to help families manage that invisible load more efficiently. In this episode, Avni shares her journey from studying chemistry to holding leadership roles at global brands like Adidas and Starbucks, to launching her own ventures. She discusses how she approaches career transitions, the importance of unpleasant experiences, and why she’s focused on making everyday life easier for parents. [01:26] Avni's University Days and Early Career [04:36] Non-Linear Career Paths [05:16] Pursuing Steep Learning Curves [11:51] Entrepreneurship and Safety Nets [15:22] Lived Experiences and Milo [19:55] Avni’s In Her Ellement Moment [20:03] Reflections Links: Avni Patel Thompson on LinkedIn Suchi Srinivasan on LinkedIn Kamila Rakhimova on LinkedIn Ipsos report on the future of parenting About In Her Ellement: In Her Ellement highlights the women and allies leading the charge in digital, business, and technology innovation. Through engaging conversations, the podcast explores their journeys—celebrating successes and acknowledging the balance between work and family. Most importantly, it asks: when was the moment you realized you hadn’t just arrived—you were truly in your element? About The Hosts: Suchi Srinivasan is an expert in AI and digital transformation. Originally from India, her career includes roles at trailblazing organizations like Bell Labs and Microsoft. In 2011, she co-founded the Cleanweb Hackathon, a global initiative driving IT-powered climate solutions with over 10,000 members across 25+ countries. She also advises Women in Cloud, aiming to create $1B in economic opportunities for women entrepreneurs by 2030. Kamila Rakhimova is a fintech leader whose journey took her from Tajikistan to the U.S., where she built a career on her own terms. Leveraging her English proficiency and international relations expertise, she discovered the power of microfinance and moved to the U.S., eventually leading Amazon's Alexa Fund to support underrepresented founders. Subscribe to In Her Ellement on your podcast app of choice to hear meaningful conversations with women in digital, business, and technology.…

The Effective Data Scientist

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Do you want to boost your career as a data scientist? Our podcast helps you in achieving this by teaching you relevant knowledge about all the different aspects of becoming a more effective data scientist.

24 つのエピソード

#Science #Natural Sciences #Alexander Schacht and Paolo Eusebi #Alexander Schacht #Paolo Eusebi #Data Science #Data Scientist

The Effective Data Scientist

updated 約 1 年前

シリーズのホーム•Feed

24 つのエピソード

#Science #Natural Sciences #Alexander Schacht and Paolo Eusebi #Alexander Schacht #Paolo Eusebi #Data Science #Data Scientist

すべてのエピソード

The Effective Data Scientist

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As a Statistician - Do You Take the Back Seat or Do You Drive Yourself? (Episode 24) 21:37

1 year前21:37

21:37

Discussion with Alexander Schacht and Benjamin Piske how it relates to your goals, what it takes to think strategically, which role innovation has here, what practical steps to take to drive teams forward, which knowledge to acquire to lead teams successfully, how this relates to influencing, and how your attitude will play a big role in this.…

The Effective Data Scientist

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On Building Your Own Company (Episode 23) 44:32

1 year前44:32

44:32

Interview with Shafi Chowdhury In this episode, we’ll cover an amazing story by one of the best programmers and mentors I ever worked with - Shafi Chowdhury (www.shaficonsultancy.com). We’ll explore how it changed from being a freelance programmer only to building his company on the side. He had a great vision in mind, that drove him forward. You’ll also hear about his approach to teaching and mentoring – or in general helping people do their job better. His abundance mindset inspires me a lot. Shafi explains, why and how he made his own job redundant in his own company. Retention is a major cost driver and disrupts some companies a lot. You’ll learn how he manages to have nearly no turnover in his company and how is approach to recruiting and training new employees fits in to this. Further, we’ll cover how and why Shafi and his team regularly presenting at different conferences. We’ll especially go deeper on this presentation at the PSI conference in 2017 about an amazing tool to analyse and visualize data at the same time. His approach to delivering all this innovation is very unique. Finally, you’ll learn a lot about the leadership attitude that helped him grow his business fast into a medium-sized CRO with a very stable client base.…

The Effective Data Scientist

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Cluster Analysis (Episode 22) 32:59

1 year前32:59

32:59

Discussion with Alexander Schacht and Paolo Eusebi 000000E2 000000E0 00002DDD 00002879 000099FA 0000A568 00007FBA 00006CBA 00004C39 0000A224

The Effective Data Scientist

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Dimension Reduction with PCA (Episode 21) 21:31

1 year前21:31

21:31

Discussion with Alexander Schacht and Paolo Eusebi 0000016B 0000015F 000045CA 00003CF4 0013891F 000E045E 00007FBA 00006E82 00004C39 001366D6

The Effective Data Scientist

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How to Write Impactful and Effective Emails While Avoiding Common Mistakes (Episode 20) 34:27

1 year前34:27

34:27

Do you have a lot of email ping-pong, where emails go back and forth many times – too many times? Are you aware about the brand of you, that you communicate with your email style? Is email your default communication tool? Then this episode is for you. We have researched various articles on good email writing copies and distilled the best for you in this episode. By listening to this episode, you will learn about: When is email the best way to communicate? Approaches to attachments. How to take care of your style? How to structure your emails? About different email cultures Simple actionable tricks to improve your effectiveness directly…

The Effective Data Scientist

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Tips and Tricks to Reduce Your Email Burden Including the Option of Last Resort (Episode 19) 30:00

1 year前30:00

30:00

Discussion with Alexander Schacht and Benjamin Piske By listening to this episode, you’ll learn about these topics: What are helpful mindsets about emails Five step approach to managing emails Good habits to establish like Reply in a timely manner Send and respond less to receive less. Tips on how to set up filters Smartphone vs desktop email checking When and when not to work on emails And the option of last resort…

The Effective Data Scientist

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Data Visualization Part 2 (Episode 18) 23:10

1 year前23:10

23:10

Discussion with Alexander Schacht and Paolo Eusebi In this episode, we share out ideas and experiences, which mindset sets up statisticians for success. We cover topics around:

The Effective Data Scientist

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Data Visualization Part 1 (Episode 17) 24:18

1 year前24:18

24:18

The Effective Data Scientist

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Success Starts in Your Head - Thoughts About the Mindset of Being Successful (Episode 16) 23:34

2 years前23:34

23:34

Discussion with Alexander Schacht and Benjamin Piske In this episode, we share our ideas and experiences, which mindset sets up for success. We cover topics around: Leading people Convincing business partners Delivering value and selling it–and what does selling mean Thinking outside the status quo to improve things in the long run Always learning about the business and the people in the business Learning about statistical innovation Doing things more effectively Becoming more impact-fully Raising your business acumen–internally and externally Having quality in mind Quote from the Episode by Bill Gates “Most people overestimate what they can do in one year and underestimate what they can do in ten years.”…

The Effective Data Scientist

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What Are the Questions to Ask If You Get a New Project? (Episode 15) 21:18

2 years前21:18

21:18

The Effective Data Scientist

1
A Picture Says More Than 1000 Tables (Episode 14) 45:41

2 years前45:41

45:41

The Effective Data Scientist

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Writing Reproducible Reports using Quarto (Episode 13) 16:58

2 years前16:58

16:58

Discussion with Paolo and Thomas Communicating data is so important! Quarto is a fantastic tool for writing reproducible reports using literate programming. Literate programming allows us to incorporate documentation and code in the same program. The data science community has embraced this idea by adopting Rmarkdown and Jupyter Notebooks. Using Quarto efficiently, you can create parametrized reports, write scientific publications, and build data-driven slides. Enjoy this super-interesting conversation with Thomas Neitmann, and be an effective data scientist!…

The Effective Data Scientist

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Sharing your Code with R Packages (Episode 12) 22:20

2 years前22:20

22:20

Resources: R Packages (2e)

The Effective Data Scientist

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How to Effectively Structure Data Science Projects in R (Episode 11) 21:36

2 years前21:36

21:36

In this episode, Paolo and Thomas dive into the fundamental principles for a well-structured data science project. These include practical advice on: • organizing files into folders, • documenting and commenting code, • using version control systems and much more. Although the episode focuses on applying these fundamental principles in R projects, you want to apply the same principles to any Data Science project, regardless of the language used. Further resources: Advanced R 2nd Ed. ( http://adv-r.hadley.nz ) R for Data Science 2nd Ed. ( http://(r4ds.hadley.nz )…

The Effective Data Scientist

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Dichotomization and Proportional Odds Model (Episode 10) 15:30

2 years前15:30

15:30

In this episode, we move from the logistic regression model to proportional odds model, with emphasis on interpretation and the checking of assumptions (visually and analytically). We also speak about the opportunities and challenges of dealing with the dichotomization of ordinal or continuous variables. Resources: ● McCullagh, Peter, and John A. Nelder. Generalized linear models. Routledge, 1983. ● Agresti, Alan. Categorical data analysis. John Wiley & Sons, 2003. ● Faraway, Julian J. Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. Chapman and Hall/CRC, 2016. ( http://https://julianfaraway.github.io/faraway/ELM/ )…

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