[Kevin Praet (Adm)]

Hello Data Science Community Members,

A few members have had issues downloading our Welcome to Algorithm Alley Video so I’ve embedded the video to this message below. If you have any issues viewing/downloading please let me know so I can troubleshoot and make sure we get you the video an alternate way.

*Please also make sure you’re logged into your UAI Connect before accessing Algorithm Alley. This is a member-only utility resource that is not available for solution provider members or non members. 

Thanks again!

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Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
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Original Message:
Sent: 11-01-2022 15:24
From: Kevin Praet
Subject: An Exciting New Resource on UAI Connect – Algorithm Alley!

Hello Data Science Community Members,

 

I’m very excited to reach out today to introduce you to a brand-new resource we’re launching on UAI Connect called  “Algorithm Alley”!  Over the past year, the team at UAI has had the privilege of learning from and working with many of our data science members. Our takeaway? More and more members are wanting a resource on UAI Connect where they can upload and collaborate on various forms of code, script, and algorithms. We are both proud and excited to introduce you to Algorithm Alley and we look forward to growing this new initiative with you!

 

Want to get advice on your code or script? Maybe you want to collaborate on a machine learning algorithm? Algorithm Alley has you covered! Currently divided into four categories (Data Engineering, Data Visualization, Machine Learning Algorithms, and Programming) members will have the option of perusing through different entries while also being able to upload their own content. Furthermore, members can like/upvote certain entries and interact publicly or privately with each author. Please make sure any data uploaded to Algorithm Alley is not sensitive or private. Please refer to our code of conduct or reach out to me at kpraet@utilityanalytics.com if you have any questions or concerns.

 

To help get us started, @Andrew (Lead Enterprise Architect at Evergy) was nice enough to put together a short video tutorial. Please click here to watch! In addition, we’ve provided three examples from UAI Members @Kaleb (Data Science Supervisor at ONE Gas), @Phi (Data Scientist at San Diego Gas & Electric) and again @Andrew (Lead Enterprise Architect at Evergy).

 

You can find the direct Link to Algorithm Alley on UAI Connect at https://connect.utilityanalytics.com/ideation-home?IdeationConfigurationKey=9030adff-fa57-4ecb-a34c-aacbddc8cd50. We recommend you bookmark this URL.

 

Today I have decided to tease Algorithm Alley to our Data Science Community and our Executive Advisory Council Members, and we plan to launch to the broader UAI members  in one month on December 1, 2022. By releasing Algorithm Alley to these two select communities, we want to fully test this resource over the coming weeks, tracking any user issues and taking suggestions on how we might be able to improve before our official launch. While you explore Algorithm Alley, please do not hesitate to reach out to me at kpraet@utilityanalytics.com if you notice any issues or have any suggestions.

 

**Please note Algorithm Alley is reserved only for UAI Utility Members. Solution Provider Members and non-members will not be able to access this resource.

 

Thank you in advance for your guidance and support and I hope you enjoy Algorithm Alley!​​​

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Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
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[Kevin Praet (Adm)]

Hello Data Science Community Members,

I hope all is well! We are one week away from our November (2022) Data Science Community Conversation and want to get you excited about the session taking place. On Tuesday, November 15th at 1:00 PM CT, we’ll be joined by Huseyin Salis, Data Scientist and Avi Dutt-Mazumder, Data Science Supervisor at Consumers Energy who will be leading a discussion around, “Next Best Program Offer for Residential Customers.” As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speakers below!

Session Description:

The Customer Insights and Analytics team at Consumer Energy have developed an in-house state-of-the-art sophisticated decision engine, which intertwines a series of complex machine learning algorithms, and business key performance indicators (KPIs) to offer the “right products to the right customers at the right time”. This endeavor will help the Enterprise Product & Marketing Team to enhance their customer acquisition for products, which typically consist of Demand Response, Energy Waste Reduction, Renewables, Transport and Utility preferences. For this purpose, the analytics group created a synergistic ETL with a Machine Learning Pipeline to find eligible customers and predict the maximum likelihood to enroll in their eligible products. The resulted offers are shown in an interactive search dashboard along with the customer profile and all eligible programs.

Speaker: Huseyin Salis, Data Scientist (Consumers Energy)

Huseyin Salis is a Data Scientist at Consumers Energy Marketing Department. He has worked in Data Analytics and Data Science fields in various sectors. He has a bachelor’s degree in Computer Engineering and a master’s degree in Computer Science and another master’s degree in Computer and Electrical Engineering. He lives in Dallas, and he is married with 3 daughters. He enjoys traveling, watching movies, playing ping pong, and meeting new friends.   

Speaker: Avi Dutt-Mazumder, Data Science Supervisor (Consumers Energy)

Avi Dutt-Mazumder is a Data Science Supervisor at Consumers Energy in Customer Experience. He holds a PhD on computational neuroscience, he was the winner of the IEEE Brain award in 2018and has worked on defense projects with IEEE, DARPA. He enjoys travelling, coding, swimming & diving in his leisure time. He lives in greater Dallas with his wife, and two pet fur babies.
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A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Tuesday, November 15 at 1:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

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Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
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Original Message:
Sent: 11-01-2022 12:00
From: Kevin Praet
Subject: Upcoming November (2022) Community Conversation

Hello Data Science Community Members,

I hope all is well! With November just kicking off, I wanted to reach out and get you excited for our November (2022) Data Science Community Conversation. On Tuesday, November 15th at 1:00 PM CT, we’ll be joined by Huseyin Salis, Data Scientist and Avi Dutt-Mazumder, Data Science Supervisor at Consumers Energy who will be leading a discussion around, “Next Best Program Offer for Residential Customers.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

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Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
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