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 alive - we will provide real company data for this.


    Here are the specialties whose representatives will be able to participate:

    • 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 going on right now, from March 1 to 30, this is a free educational online course, after registration you will receive links to assignments, you can accumulate points and in the process get to know other participants if you have not already chosen a team. Yes, it is important to choose a team, because it is the teams involved (from 2 to 5 people each).

    We developed the educational program together with AI Today, 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 (you can later exchange them for a useful merch, additional features (like an extra mentoring hour), or participate in an auction for a super prize.

    Points are awarded for registration at the hackathon itself (previously registered = received more points), for completing the entire program, for the data left and much more.

    Full list
    • Up to 500 - for registration on the hackathon website (the earlier the registration date, the more points).
    • Up to 500 - for the registration of the team (in the same dependence on the date).
    • 100 - for presenting #siburchallenge participants in the chat and information posted about themselves.
    • 100 - for sending a resume.
    • 100 - for each correct answer after the video lessons, and in case of successful completion (75% of the correct answers) of the entire educational program - additional points.
    • 100 - for completing the first lesson in the bot.
    • Up to 1500 - for completing the entire program (at least 75% of the correct answers) before a certain date: the sooner, the more points.
    • 500 - for participation in the referral program.
    • Up to 300 - for announcements and reviews on social networks.
    • Up to 500 - for attending additional events before the hackathon.
    • 100 - for feedback.
    • 200 - for a found bug or error.


    The second stage, March 29, mitap . Here you can already join the desired team, if you have not already done so. Communication with company representatives (units from IT, HR, business).

    The third stage, until March 30, the selection of teams . If you did not join the teams in the first two stages, then this is the last chance. Either form a team yourself, or join the existing ones according to the profile you need. There will also be a number of activities for which they will give points - you need to score the required amount.

    The fourth stage, March 30-31, the hackathon himself. Here, your team will need to develop a solution to 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 Makeenok / ex-Microsoft
      Independent expert on startups and innovations. Former Head of Startups and Academic Interaction at Microsoft Representative Office in Russia and Eastern Europe. Advises startups in marketing and business development.
    • Sergey Martynov / Brainex Brainex
      development team leader and partner of NP Capital venture company. In the Internet business for more than 15 years, in the past he was the head of such projects as Gosuslugi.ru and Mail.Ru Mail.
    • Ilya Korolev / IIDF
      Portfolio Manager IIDF. Investment portfolio - 850+ million rubles, 18 companies from the fields of 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 Lab.
    • Alexey Pavlyukov / Esporo
      Go-evangelist at Esporo. Full-stack developer. He is working 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 mitaps it52.info. Independent Developer. He worked at Yandex.Money and iFree. He loves ruby, monitors the development of front-end technologies.
    • Alexander Krot / SIBUR
      Head of data analysis projects for SIBUR. He worked in Central Bank of Sberbank, where he was responsible for the implementation of products based on data analysis and machine learning.
    • Sergey Belousov / Intel
      R&D Machine Learning Engineer at Intel. Over 8 years of experience in the field of computer vision and machine learning. He participated in the development of such open CV / ML libraries as OpenCV, OpenVINO.

    And about the tasks


    Firstly, there will be a task about the distribution of permits. In a large organization, this is still a big date with a bunch of parameters.

    From our side:

    1. Dataset 19 000 applications of employees for the provision of permits with analysts for work experience, awards and personal data for benefits, sanatorium room fund, criteria for awarding employees permits.
    2. A business ouner of a process that will prompt and show everything.

    On your part: A
    comprehensive solution that will allow the labor solutions specialist to quickly make decisions on the distribution of these vouchers for employees who have applied for vouchers, to propose solutions for distributing vouchers for enterprises and number of rooms.

    The solution should consist of two parts:

    1. Algorithm based on data analysis.
    2. An interface with the visualization of data and the results of the algorithm and any additional data.

    Secondly, the task of an adviser in the production of butadiene (we wrote a little about this here ).

    Passwords and appearances


    Location: Nizhny Novgorod, st. Ilyinskaya, 46 , hotel Courtyard Marriott Nizhny Novgorod Center .

    Event and registration page .

    If you want to try yourself in the analysis of data in large-scale production - come. And we also have many vacancies in Nizhny Novgorod .

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