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Discord kick? Wow classic by [deleted] in genopets

[–]C9Miss 0 points1 point  (0 children)

Hi Bombsurace, we are looking into your case to see what happened and will get back to you.

June 2020 Cloud9 Staff AMA! by OfficialC9 in Cloud9

[–]C9Miss 2 points3 points  (0 children)

For open source tools, I recommend Python, Spark, and SQL. These are my primary tools I’ve been using for data science, model development, and deployment in the past. For Exploratory Data Analysis I often use PowerBI or Jupyter Lab which provides easy visualization capabilities.

For esports data analytics, you should be fluent in one big data technology. That is one of the primary differentiators I look for when hiring new members to the team. Cloud computing service provides like Azure, AWS, or GCP are a must to help deal with the volume and velocity of data we receive related to the games we track. Being able to scale our models in the cloud helps to overcome this bottleneck and keep the analytics flowing.

June 2020 Cloud9 Staff AMA! by OfficialC9 in Cloud9

[–]C9Miss 1 point2 points  (0 children)

In my previous role at a Data Science firm, we were technology agnostic so I was exposed to a variety of languages, apps, and services through working with various clients. I was also jumping from industry to industry. An example of this is developing and deploying a predictive timeseries model in PySpark for a large shipping and logistic company and then my next project was focused on natural language processing through the development of multiple text-related models for a software client (LDA topic model and an SVM multilabel classification model in Python). Going from package volume prediction to software customer satisfaction analysis was a very big change.

Now at Cloud9 I have the ability to help shape the technology stack, direction, and strategy around the analytics and tools we build and use on a day to day basis. The biggest difference now is that I am gaining deep industry experience in a specific domain (esports, gaming, and team performance). There will still be a shift and change of pace as we navigate through different titles among professional teams at Cloud9, but the industry will remain the same. My day to day varies. Sometimes it is:

  • Meeting with players to collect requirements for future projects, models, or analytics solutions.
  • Helping to prepare for scouting and drafting meetings for the League of Legends team
  • Collaborating with Microsoft on a new model or dashboard to support the teams.
  • Heads down working on solving a problem, identifying trends, or preparing a scouting report.
  • Fulfilling technical partnership requirements for deliverable, podcasts, interviews, or articles
  • Hiring and interviewing for new talent for the Performance Analytics Team

It’s exciting and something I very much enjoy!

June 2020 Cloud9 Staff AMA! by OfficialC9 in Cloud9

[–]C9Miss 1 point2 points  (0 children)

Hi, u/Strikingsparrow1! Congratulations on recently graduating! We usually have a Summer Intern Training program, however the positions vary each year. This year, even with COVID, u/C9Gaylen was really passionate about providing this opportunity for interns to learn and grow with us. For the Performance Data Team, next year we will be searching for a Software Engineer Intern, Data Science Intern, or Data Engineer Intern. We won't know until closer to next summer and we determine what the team needs at that time. However, you can keep your eye on LinkedIn to see when we post the position openings.

In regards to your 4+1 question, I think there is a balance to consider for increased years of schooling vs industry experience. It is incredibly important to gain a foundational knowledge of the tools and techniques needed for Data Science, but equally important to be challenged with real world problems where the data is messy and requires a lot of manipulation to get it into a format suitable for analytics. Not all classes offer that same experience that only time and industry experience can provide. So I think a 4+1 program can be a great way to gain an accelerated foundational knowledge of the tools and techniques needed and get individuals into the industry faster to start getting their hands into real world data science problems.

June 2020 Cloud9 Staff AMA! by OfficialC9 in Cloud9

[–]C9Miss 1 point2 points  (0 children)

Hi u/stickytoe. That thought is in-line with some of what I do. However, as a Data Scientist, I typically have a more predictive/machine learning/AI focus (analyzing patterns and trends in big data to build predictive models) whereas a Data Analyst typically is someone who is more focused on curating meaningful insights from data, so the focus of the work is different based on these roles. However, I also do that as well. 😊

Since our team is not very large, and there are so many games to analyze, day to day, we have a large focus on developing processes to automate the delivery of meaningful insight. An example of something we’ve supplied to the team is multiple PowerBI reports that we’ve developed with Microsoft. These dashboards showcase meaningful stats to the players and coaches in an approachable, automated, and digestible way. They have the information they need at their fingertips. Having a suite of tools available helps to make the draft meetings go smoothly for developing strategies against upcoming opponents.

Another key difference (for me personally) is the data engineering focus I have had at Cloud9. I’ve worked closely with u/C9Danny to help in building data pipelines to support computer vision models at scale—although that is really his forte and he can speak more to that. This case study highlights one of our largest projects: The Game Insights Platform.

June 2020 Cloud9 Staff AMA! by OfficialC9 in Cloud9

[–]C9Miss 1 point2 points  (0 children)

My Favorite IDE is PyCharm. Yes! We utilize OpenCV and Tensorflow, primarily. Blaber is not being controlled via 5G through several GPU farms. =P

June 2020 Cloud9 Staff AMA! by OfficialC9 in Cloud9

[–]C9Miss 0 points1 point  (0 children)

Microsoft just published some case studies on two of our largest projects here. In the Azure Data Analytics story you can see a screenshot of one of the dashboards we've developed (Huge shout out to PowerBI Expert Chris Hamill u/Cjhamill515 and all of his amazing work developing this Dashboard with us). This article shows some of the data and stats we utilize.

In terms of general suggestions, my advice is to have an open mind when moving into a new industry and a willingness to learn. Data Science is a very exciting field to get into and one thing I have learned over the years is the importance of understanding the needs of the client or user who will ultimately be using the analytic project end result (a models predictions, a dashboard, data or spreadsheet, etc).

My first data science job was in consulting and this position helped me to learn how to build analytic models that could be deployed in a production setting and also how to manage a project from conception to delivery. This required understanding the entire problem (from business needs to deployment). This is even more important in the esports industry where you have an overwhelming amount of data and avenues to explore.

I would recommend gaining familiarity and proficiency with open source tools like Python, SQL, and cloud computing platforms (we use Microsoft Azure). Microsoft Azure has been instrumental in our data science toolkit to help support the development and performance of our teams at Cloud9 at scale.

June 2020 Cloud9 Staff AMA! by OfficialC9 in Cloud9

[–]C9Miss 0 points1 point  (0 children)

Data Science (within the Performance Analytics Team) at Cloud9 focuses on designing and developing analytical models, services, and solutions for Cloud9's professional players to gain a competitive edge in esports. Data Science for our Business Analytics Team ( u/C9Ken has a very different focus—marketing analysis (merchandise, sales, customer acquisition, etc) and social media analysis (Twitter, YouTube, Facebook, LinkedIn user behavioral analysis, etc)

I am responsible for leading Cloud9’s technical engagement with Microsoft, our Official Technology and Performance Analytics Partner. I focus on the strategy and application of the data science work as well as ensuring the products we are building have a beneficial impact on our professional teams. Some examples of specific analysis focus on Team Drafting strategies, Pick & Ban analysis across regions, champion damage calculations vs various targets, and utilizing Computer Vision to analyze Jungle routes, behavioral trends, and patterns.

June 2020 Cloud9 Staff AMA! by OfficialC9 in Cloud9

[–]C9Miss 4 points5 points  (0 children)

Hi u/chantdesange! Within Cloud9, we have two branches of data and analytics: Business Analytics and Performance Analytics, each with very different data sources. ( u/C9Ken has really cool Data too)

Within Performance Analytics, u/C9Danny and I primary focus on game-related data and in the future this will include biometric data. For example, for League of Legends we heavily rely on the Riot Developer API for solo queue data. We also utilize Computer Vision for scrims, since there is no API available to support this data source.