Ashmi Banerjee

Ashmi is a full-time Data Scientist at Deutsche Telekom, Germany and a self-taught (hobby) web developer. She has a master’s degree, with a focus on Machine Learning and Artificial Intelligence, in Computer Science (Informatics) from Technical University of Munich, Germany.
She gets excited about new technical challenges and automating mundane activities using technology.

As a Google Women Techmakers (WTM) Ambassador and a diversity enthusiast, she is passionate about bridging the gender gap in STEM through a myriad of voluntary activities with different women in STEM networks like Female Tech Leaders, Women Who Code (WWC) and Women in CS at TUM, Anita Borg's Indian Women in Computing (IWiC) etc.

When not sitting in front of her computer, she is either travelling or training to be a triathlete.

  • Automating mundane activities using Python
Cheuk Ting Ho

Before working in Developer Relations, Cheuk has been a Data Scientist in various companies which demands high numerical and programmatical skills, especially in Python. To follow her passion for the tech community, now Cheuk is the Developer Advocate for Anaconda.

Besides her work, Cheuk enjoys speaking at various conferences. Cheuk also organises events for developers. Cheuk has organised conferences including EuroPython (of which she is a board member), PyData Global and Pyjamas Conf. Believing in Tech Diversity and Inclusion, Cheuk constantly organizes workshops and mentored sprints for minority groups. In 2021, Cheuk has become a Python Software Foundation fellow.

  • Picking What to Watch Next - build a recommendation system
Daniele Procida

I'm a Director of Engineering at Canonical, where I am working to transform documentation practice across 40-plus engineering teams. I love Django, DjangoCons and documentation (I am the author of the Diátaxis documentation framework.

I think it would be better to humanise software than softwarise humans.

  • KEYNOTE: What am I doing?

With experience in big data, data science, and machine learning Dash is able to apply 18+ years of full-stack, hands-on software engineering skills to help build solutions that solve business problems and surface trends that shape markets in new ways than imagined before. As a developer advocate, he is passionate about evaluating new ideas, trends, and helping articulate how technology can address a given business problem.

Dash has worked for global enterprises and in agile environments–for tech startups in the Bay Area in varying verticals, such as VoIP, Online Gaming, Digital Health, NoSQL database, and Data Cloud platforms.

  • Training, Deploying, and Running a ML model using Python and Snowpark
Diogo Valente Polónia

22-year-old Portuguese student, finishing my Master's in Industrial Engineering and Management at the University of Porto. With extensive experience in business, strategy, and engineering case study competitions, as well as in data science hackathons, both nationally and internationally.
I've been active in several juvenile associations, most prominently, as President of ShARE-UP, a junior association that develops a training program for students and consulting projects for startups and businesses, focusing on combining economic performance with societal progress.
Professionally, I've worked at, a fast-growing Portuguese start-up that is disrupting the textile industry by providing AI tools to minimize waste production, and its environmental consequences. Besides, I've used analytical and machine learning tools in a brief internship at Sonae Fashion, as part of the Customer Strategy team.
Currently looking for ways to apply business, analytical and technical concepts to solve social or environmental issues.

  • A Python-Based Methodology for Solving Sustainability Problems with Data Science
Jodie Burchell

Dr. Jodie Burchell is the Developer Advocate in Data Science at JetBrains, and was previously the Lead Data Scientist in audiences generation at Verve Group Europe. After finishing a PhD in Psychology and a postdoc in biostatistics, she has worked in a range of data science and machine learning roles across search improvement, recommendation systems, NLP and programmatic advertising. She has a particular interest in topics such as applying behavioural science techniques to ML projects and the relationship between engineering and data science. She is also the author of two books, "The Hitchhiker's Guide to Ggplot2" and "The Hitchhiker's Guide to Plotnine", and writes a data science blog.

  • Text to … vectors? How feature engineering works in natural language processing
João Afonso Pereira

Biomedical Engineer working as Data Scientist in a fast-growing med-tech startup. My professional career started in 2017, first collaborating on several research projects and then moving to a multinational IoT company before changing to my current position. My goal is to deliver real impact through analytics, AI and communication, always focused on sustainable development.

  • A Python-Based Methodology for Solving Sustainability Problems with Data Science
João Matos

Portuguese, 22, and master’s student of Biomedical Engineering at the University of Porto. My name is João Matos and I am passionate about traveling, having lived in 4 different countries. I am currently living in Japan and I will move to the US in October to develop my master’s thesis at MIT. As a Biomedical Engineering to-be, I want to bring AI and clinical data together to improve healthcare and people’s quality of life. Driven by delivering a good impact with my analytical and technical skills, I am also interested in solving sustainability and societal issues. I was President of ShARE-UP, a Do Well Do Good international consulting club that promotes social progress. More recently, alongside my teammates, I won a couple of datathons with challenges that tackled some of the United Nations’ Sustainable Development Goals.

  • A Python-Based Methodology for Solving Sustainability Problems with Data Science
Marcelo Trylesinski

I'm a maintainer of Starlette and Uvicorn. Also a FastAPI Expert! 🚀

  • How to become a FastAPI Expert
Mark Farragher

Mark is a data scientist who has worked in tech companies and consultancies, in areas such as SaaS, healthcare and ecommerce. He has developed two popular Python packages, including obsidiantools recently. He has studied MPhil Population Health Sciences at Cambridge and specialised in Health Data Science. Over the course of his programme he wrote all his notes in a digital vault via software.

  • Connecting those thoughts: Personal knowledge management with Python
Max Kahan

I'm a Python Developer Advocate and Software Engineer at Vonage (ex-IBM). I'm interested in APIs, developer relations, machine learning, cloud, developer experience and dancing! My training is in Physics, and now I use my problem-solving skills daily when working on open-source projects and finding ways to make developers’ lives better.

  • Use my n-point checklist to become exponentially happier with your Python project
Michael Seifert

Michael is a consulting software engineer who helps product teams to develop Python software in the cloud. He worked with many different teams from various industries, but none of them practised property-based testing and only few were familiar with the concept.

This prompted him to spread the word about property-based testing and Hypothesis in an effort to help others write more robust and maintainable software.

  • Bulletproof Python – Property-Based Testing with Hypothesis
Nabanita Roy

Data Scientist @ ACI Worldwide | Education Co-Lead @ Women in AI Ireland | Blogger @ Medium | ❤ NLP

  • Building and Optimizing a Multiclass Text Classifier using Keras
Patrícia Rocha

MSc in Bioengineering with a specialization in Biomedical Engineering. Currently working as a Data Scientist at Automaise, developing AI-powered solutions to improve customer care.

  • A Python-Based Methodology for Solving Sustainability Problems with Data Science
Prashant Nigam

Prashant is a data scientist, skilled in application of machine learning techniques for solving data based problems. Currently, a Data Scientist working on Computer Vision Applications.

He is an active community guy and loves to share and learn as much he can by organizing Meetup and networking with individuals.

  • Building a Handwritten Text Detection API for Medical Charts
Richard Rowland

At from Keio U., I devised a semi-permanent method for storing data using blockchain and P2P networks. I worked on blockchain systems at Softbank and OKCoin Japan, a cryptocurrency exchange. Hobbies include photography, film and opera.

  • Why "Hello World" is a Massive Operation - From Python code to Stack Virtual Machine
Stefanie Molin

Stefanie Molin is a software engineer and data scientist at Bloomberg in New York City, where she tackles tough problems in information security, particularly those revolving around data wrangling/visualization, building tools for gathering data, and knowledge sharing. She is also the author of "Hands-On Data Analysis with Pandas," which is currently in its second edition. She holds a bachelor’s of science degree in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science. She is currently pursuing a master’s degree in computer science, with a specialization in machine learning, from Georgia Tech. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.

  • Introduction to Data Analysis Using Pandas