March 30 - 31, SIBUR CHALLENGE in Nizhny Novgorod
Hello!
In a couple of weeks, on March 30-31, we will hold a hackathon in Nizhny Novgorod dedicated to data analysis. The selection of teams will go until March 30, the tasks will need to be solved not abstract, but quite lively - we will provide real company data for this.
Here are specialties whose representatives can take part:
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More information about the tasks and stages - under the cut.
The first stage is already underway right now, from March 1 to March 30, this is a free online educational course, after registering you will receive links to tasks, you can accumulate points and in the process meet other participants if you have not chosen a team yet. Yes, it is important to choose a team, because it is the teams that participate (from 2 to 5 people in each).
We developed the educational program together with AI Today specialists, the tasks are already available in the telegram-bot @siburchallenge_bot . By the way, in the bot you can also check your current balance of bonus points (they can then be exchanged for useful merchandise, additional features (like an extra mentoring hour), or participate in an auction for a super prize.
Points are awarded for registration on the hackathon itself (previously registered = got more points), for completing the entire program, for the data left, and much more.
The second stage, March 29, mitap . Here you can already join the right team, if you have not already done so. Communication with company representatives (IT, HR, business units).
The third stage, until March 30, the selection of teams . If in the first two stages you have not joined the teams, then this is the last chance. Either you form a team yourself, or join the existing ones according to the profile you need. Here there will be a number of activities for which they will give points - you need to collect the required number.
The fourth stage, March 30-31, is the hackathon itself. Here your team will need to develop a solution for the problem. You can consult with our experts in the process.
First, there will be a task about the distribution of vouchers. In a large organization, this is still a big date with a bunch of parameters.
From our side:
From your side:
A comprehensive solution that will allow a labor decision maker to quickly make decisions on the distribution of these vouchers among employees who have applied for vouchers, to propose solutions for the distribution of vouchers among enterprises and a number fund.
The solution should consist of two parts:
Secondly, the task of the adviser on the production of butadiene (about this we wrote a little here ).
Venue: Nizhny Novgorod, st. Ilyinskaya 46 , Courtyard Marriott Nizhny Novgorod Center Hotel .
Event page and registration .
If you wanted to try yourself in the analysis of data on large-scale production - come. And we have a lot of vacancies in Nizhny Novgorod .
In a couple of weeks, on March 30-31, we will hold a hackathon in Nizhny Novgorod dedicated to data analysis. The selection of teams will go until March 30, the tasks will need to be solved not abstract, but quite lively - we will provide real company data for this.
Here are specialties whose representatives can take part:
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- Data engineer
- Data Architect
- Data scientist
- Solution architect
- Front-end developer
- Back-end developer
- UX / UI Designer
- Product owner
- Scrum master
More information about the tasks and stages - under the cut.
The first stage is already underway right now, from March 1 to March 30, this is a free online educational course, after registering you will receive links to tasks, you can accumulate points and in the process meet other participants if you have not chosen a team yet. Yes, it is important to choose a team, because it is the teams that participate (from 2 to 5 people in each).
We developed the educational program together with AI Today specialists, the tasks are already available in the telegram-bot @siburchallenge_bot . By the way, in the bot you can also check your current balance of bonus points (they can then be exchanged for useful merchandise, additional features (like an extra mentoring hour), or participate in an auction for a super prize.
Points are awarded for registration on the hackathon itself (previously registered = got more points), for completing the entire program, for the data left, and much more.
Full list
- Up to 500 - for registering on the hakaton site (the earlier the registration date, the more points).
- Up to 500 - for the registration team (in the same dependence on the date).
- 100 - for the presentation of #siburchallenge participants in the chat and the information about yourself.
- 100 - for sending a resume.
- 100 - for each correct answer after video lessons, and in case of successful completion (75% of correct answers) of the entire educational program - additional points.
- 100 - for passing the first lesson in the bot.
- Up to 1500 - for passing the entire program (at least 75% of correct answers) before a certain date: the earlier, the more points.
- 500 - for participation in the referral program.
- Up to 300 - for announcements and reviews in social networks.
- Up to 500 - for attending additional events in front of the hakaton.
- 100 for feedback.
- 200 - for found bug or error.
The second stage, March 29, mitap . Here you can already join the right team, if you have not already done so. Communication with company representatives (IT, HR, business units).
The third stage, until March 30, the selection of teams . If in the first two stages you have not joined the teams, then this is the last chance. Either you form a team yourself, or join the existing ones according to the profile you need. Here there will be a number of activities for which they will give points - you need to collect the required number.
The fourth stage, March 30-31, is the hackathon itself. Here your team will need to develop a solution for the problem. You can consult with our experts in the process.
Speaking of experts
- Gleb Ivashkevich / AI Today
Deep Learning Expert. Head of Data Science AI Today. Mentor of the program Y-Data. - Anastasia Makeyonok / ex-Microsoft
Independent expert on startups and innovations. Former head of startups and academic interactions at Microsoft in Russia and Eastern Europe. Advises startups in marketing and business development. - Sergey Martynov / Brainex
Brainex development team leader and partner of venture company NP Capital. In the Internet business for more than 15 years, in the past was the head of such projects as Gosuslugi.ru and Mail.Ru Mail. - Ilya Korolev / FRIA
FRIA portfolio manager. Investment portfolio - 850+ million rubles, 18 companies from the fields LegalTech, AR / VR and MarTech and Consumer Internet. - Pavel Doronin / AI Community
AI Community founder. Founder of AI Community and AI Today's Digital Transformation Laboratory. - Alex Pavlyukov / Esporo
Go-evangelist at Esporo. Full-stack developer. He works on the creation of web services and machine learning systems in the areas of text, document and image analysis. - Nikolay Kugaevsky / it52.info
Founder and developer of the poster of the Nizhny Novgorod mitapov it52.info. Independent developer. He worked in the companies Yandex. Money and iFree. Loves ruby, monitors the development of frontend technologies. - Alexander Krot / SIBUR
SIBUR data analysis project manager. He worked in the Central Bank of Sberbank, where he was responsible for product implementation based on data analysis and machine learning. - Sergey Belousov / Intel
R & D Machine Learning Engineer at Intel. Over 8 years of experience in computer vision and machine learning. Participated in the development of open source CV / ML libraries such as OpenCV, OpenVINO.
And about the tasks
First, there will be a task about the distribution of vouchers. In a large organization, this is still a big date with a bunch of parameters.
From our side:
- Dataset 19 000 applications of employees for the provision of vouchers with analysts for work experience, awards and personal data for receiving benefits, the number of rooms of the sanatorium, the criteria for awarding employees with vouchers.
- A business manager of a process that will tell and show everything.
From your side:
A comprehensive solution that will allow a labor decision maker to quickly make decisions on the distribution of these vouchers among employees who have applied for vouchers, to propose solutions for the distribution of vouchers among enterprises and a number fund.
The solution should consist of two parts:
- Algorithm based on data analysis.
- Interface with data visualization and results of the algorithm and any additional data.
Secondly, the task of the adviser on the production of butadiene (about this we wrote a little here ).
Passwords and attendances
Venue: Nizhny Novgorod, st. Ilyinskaya 46 , Courtyard Marriott Nizhny Novgorod Center Hotel .
Event page and registration .
If you wanted to try yourself in the analysis of data on large-scale production - come. And we have a lot of vacancies in Nizhny Novgorod .
Source: https://habr.com/ru/post/443686/
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