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Oct. 4 2018

@ Vaba Lava / Telliskivi 60a, Tallinn, Estonia

Code of conduct

PyCon agreement among organizers, speakers and volunteers

  1. I agree that PyCon Estonia is meant to benefit the local tech community through a live event and the broader tech community through the sharing of online video and other materials.
  2. I agree that a PyCon Estonia is a casual, locally- and volunteer-organized event, focused on Python and reflecting the Python community it represents.
  3. I understand that PyCon Estonia organizers, speakers, sponsors, and volunteers are expected to support the PyCon Estonia event and its principles.
  4. I understand that the principles of the PyCon Estonia event include:
    • no discrimination or harassment on the basis of economic or social status, physical appearance, race, color, ethnic origin, national origin, creed, religion, political belief, sex, sexual orientation, gender identity, marital status, age, or disability
    • no incitement to violence or promotion of hate
    • no spammers
    • no jerks
    • respecting the PyCon Estonia logo and Python trademark
  5. I agree that PyCon Estonia is a not-for-profit event, organized with budget and funding transparency.
  6. I agree that I am not an employee of PyCon Estonia or any subsidiary of the PyCon Conferences, and am participating in PyCon Estonia exclusively as a volunteer.

Violation of the Code of Conduct after review may lead to permanent removal from the convention with no refund


PyCon Estonia AV Release

By participating in PyCon Estonia Conference/Event Oct 2018, I understand that portions of the event will be photographed and/or audio/video-recorded for use by PyCon Estonia, Pycon Conferences, or news media. I agree that the PyCon Estonia, Pycon Conferences, and news media, has the right and permission to use and publish such media — which may include my name, likeness, voice, city/state of residence, or photograph — for any purpose in any format, online and/or offline, now and hereafter without further compensation, permission, or notification. I understand that all official recordings from the event are the exclusive property of the PyCon Estonia, available under the Creative Commons Attribution-ShareAlike license for general use, and I do not ask for nor expect compensation or notification of the use of official recordings or photographs in which I appear or speak.

PyCon:
Machine Learning

PyCon Estonia is an annual conference aimed at promoting and educating people about the Python programming language.

We will have talks covering the usage of Python in various areas including topics: Machine learning and Data Science in health and fintech industries, will take a look at ICO market - is it myth, scam or business also will be talking about testing and security.

Join your fellow Pythonistas for the first annual PyCon Estonia, a day of talks, activities, fun and code! We aim to provide workshop like presentations, how things are actually done and less nice slides.

This is our first year, which means we are keeping the scope small to provide a better experience for attendees. This means we will be capping attendance at 250 people and will not be providing assistance with lodging.

Speakers

Kristo Vaher

Mr

Killing Routine
Kristo has worked as a senior engineer, tech team lead, consultant and technology architect in the fields of banking, government and internet media, creating multiple applications and designing numerous infosystems for business and private use for almost twenty years. He is most known for being an outside-the-box-thinking evangelist for API centric development and Domain Driven Design. He works as a Chief Technology Officer for Estonian government and spearhead the long term architecture and technology vision with his team.
Alexander Norta

Mr

ICO - Myth? Scam? Business?
Alex Norta,Tallinn Technology University, Estonia: Alex Norta is currently a research member at the Faculty of Informatics/TTU and was earlier a researcher at the Oulu University Secure-Programming Group (OUSPG ) after having been a post-doctoral researcher at the University of Helsinki, Finland. He received his MSc degree (2001) from the Johannes Kepler University of Linz, Austria and his PhD degree (2007) from the Eindhoven University of Technology, The Netherlands. His PhD thesis was partly financed by the IST project CrossWork, in which he focused on developing the eSourcing concept for dynamic inter-organizational business process collaboration. His research interests include business-process collaboration, workflow management, e-business transactions, service-oriented computing, software architectures and software engineering, ontologies, mashups, social web. At the IEEE EDOC’12-conference, Alex won the best-paper award for his full research paper with the title “Inter-enterprise business transaction management in open service ecosystems”.
Joonatan Samuel

Mr

Symbolic math in production robotics
Joonatan has been working with many notable futuristic projects, starting out as deep learning engineer for music analysis in MatchMySound, building data analysis pipeline for smart wearables and lately as a software engineer in Starship Technologies working on the safety and smart behavior of the robots.
Rivo Laks

Mr

Creating Solid APIs
Rivo is an experienced software developer and systems architect. He has mainly worked with Python and Django since 2011 and is also interested in Docker, React and many other technologies surrounding web development. Currently on sabbatical, Rivo was last employed as lead engineer at Thorgate, working on a variety of projects involving forestry, smart streetlights, and more.
Jürno Ader

Mr

Creating game servers with python and asyncio
Jürno Ader is a talented Python developer, advocate for open source software and a lover of all human beings. He enjoys solving difficult problems and making sure systems are secure. Jürno is a Senior Developer at Thorgate; a Gamer, creator of django-esteid and a cat person.
Lauri Võsandi

Mr

Python on microcontrollers? Why not?
Lauri has experience programming in Python for more than 10 years by now. Amongst other things Lauri has written Certidude (https://github.com/laurivosandi/certidude) in Python, an easy to use Certificate Authority software which he is using to issue VPN access at hackerspace he founded (https://k-space.ee) in October of 2017.
Mervi Sepp Rei

PhD

Text processing at scale from prototype to production
Mervi Sepp Rei is data scientist at Register OÜ in coperation with STACC where she focuses on machine learning applications for text analytics and natural language processing using Python. Mervi has a PhD in applied Physics and more than 10 years of experience with mathematical modeling and data science. Over her career, Mervi has developed technology by pulling out insights of unstructured data for a wide variety of fields from biophysics to banking and Telecommunications. She is a fellow of one of the first Data science incubators in Europe (Pivigo in London) and was one of the founding engineers for an innovative text analytics startup doing both business development and data science.
Liubov Kyaes

Ms

Text processing at scale from prototype to production
Liubov Kyaes is data Engineer at Register OÜ in coperation with STACC where she applies Big Data technologies for the design and implementation of data storage, pipelines for data science products. Previously, she worked in banking and logistic corporations in the Data Warehouse and Business Intelligence field. She  has 7 year experience in building and maintaining data workflows, data structures and data processing systems in large international corporations and now developing state of the art applications for cutting edge ML products using Python, setting up and maintaining big data infrastructure including  Hadoop, Apache Spark, Hbase.
Markus Lippus

Mr

How to do Machine Learning with Health data
Markus’ career started as a bioinformatician and he was soon drawn towards data science and developing machine learning projects. While acquiring his degree in Computer Science, he spent two years at STACC (Software Technology and Applications Competence Center) where he developed data driven tools for personalized medicine applications. Markus also has experience with deep learning algorithms, natural language processing, and image recognition. Currently he is Data Science Lead at MindTitan, where he helps companies from various sectors understand and apply machine learning solutions in their business.
Darius Barušauskas

Mr

Predicting health risks from medical pictures
Master's degree in Econometrics, Vilnius University. 8 years of experience in machine learning applications - over 30+ models for financial, telco & utility sectors. Currently a co-founder and a data scientist at oxipit.ai . The company is focusing on x-ray radiology, providing deep learning based computer assisted diagnostics tools. Also participates in Kaggle competitions - has achieved 4th rank in overall standings.
Taavi Tammiste

Mr

Predicting prescription drug marketing campaigns, based demographic, weather and sales data
the CEO and cofounder of SIFR, a data science company focused on applying machine learning and distributed computing solutions to everyday real-world businesses. He has worked in several large corporations such as Ericsson and Tele2, where most of his time was spent on innovation and building new products. Taavi has also worked at a software development company, Mooncascade, where he was a part of building the data science team from scratch.
Karl Märka

Mr

Predicting microloan defaults in a high-competition, high-risk consumer loan market.
Karl is a data scientist with a biology & bioinformatics background. Having worked in the U.S. biotech scene he refocused on the fintech sector in Estonia. He has built up the data science team and the machine learning pipeline for an international consumer finance company Creditstar Group and is now employed by the Estonian branch of the international credit bureau and data management services provider Creditinfo as their head of data science & analytics.
Mykola Herasymovych

Mr

Using reinforcement learning in loan portfolio optimization
Mykola is a data analyst at an international consumer finance company Creditstar Group. His background is in quantitative economics, while his work experience includes internships in the Ministry of Economy and Trade of Ukraine and Estonian Central Bank. With strong statistical background and will to explore machine learning field he contributes to the data science department of the company by constructing complex machine learning algorithms for consumer finance.
Kristo Koert

Mr

Why How and What of Testing
Kristo started his career as a test engineer in the automotive hardware industry. Due to the lack of simple to use and inexpensive solutions in this industry he built a custom automated testing framework in python utilizing existing C and C# tooling. After the successful practical application of this framework and introducing python to his colleagues he took to more development oriented work and found himself in Thorgate as a developer. In Thorgate he has made a push to better formalize testing and make it a natural part of the workflow.
Kadri Tuisk

Ms

If a rubber duck does not help you find solutions at work anymore, what to do?
Kadri is a Service Designer turned start-up founder who’s mission is to unlock the human potential and make workplaces inspiring communities where people can and want to create value. As a small step towards that mission, she has co-founded Clanbeat.
See all speakers
Join as a speaker
PyCon is seeking speakers of all experience levels and backgrounds to contribute to our conference program! If you use Python professionally, as a hobbyist, or are just excited about Python or programming and open source communities, we’d love to hear from you. We’d love to have you and your ideas at PyCon!
Join now

Schedule

08:30
Registration
09:00
Opening
09:15
Killing Routine
Kristo Vaher
09:30
ICO - Myth? Scam? Business?
Alexander Norta
10:00
Symbolic math in production robotics
Joonatan Samuel
10:30
Creating Solid APIs
Rivo Laks
11:00
Creating game servers with python and asyncio
Jürno Ader
11:30
Python on microcontrollers? Why not?
Lauri Võsandi
12:00
Text processing at scale from prototype to production
Liubov Kyaes
12:00
Text processing at scale from prototype to production
Mervi Sepp Rei
12:30
Lunch
14:00
How to do Machine Learning with Health data
Markus Lippus
14:30
Predicting health risks from medical pictures
Darius Barušauskas
15:00
Predicting prescription drug marketing campaigns, based demographic, weather and sales data
Taavi Tammiste
15:30
Predicting microloan defaults in a high-competition, high-risk consumer loan market.
Karl Märka
16:00
Using reinforcement learning in loan portfolio optimization
Mykola Herasymovych
16:30
Break
17:00
Why How and What of Testing
Kristo Koert
17:30
If a rubber duck does not help you find solutions at work anymore, what to do?
Kadri Tuisk

Contact us

+372 517 3301 (Partner relations)