POI- Optimizing Retail with Product Demand Forecasting
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Team Name | POI (Proof of Insights) |
Track | Retail, Consumer Goods & Manufacturing |
Use Case | Product Demand Forecasting and Restocking in Retail: Insights from Promotions and Location Trends |
Technology | SAS Studio, Visual Analytics, Visual Statistics, Visual Data Mining & Machine Learning and Python |
Region | U.S. (East) and India |
Team lead | (from Syracuse University) Arun prasadh Senthil @arunsenthil |
Team members |
(from Cognizant) Abirami Senthil: @abirami_senthil (from North Carolina State University) Pavithra Velumani: @pveluma (from Syracuse University) Swetha Narasimhan: @swethan |
Social media handles |
Arun prasadh Senthil: https://www.linkedin.com/in/arun-prasadh-senthil/
Abirami Senthil:
Pavithra Velumani: https://www.linkedin.com/in/pavithra-velumani/
Swetha Narasimhan: https://www.linkedin.com/in/swetha-narasimhan-b68071190/
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Is your team interested in participating in an interview? | Y |
Optional: Expand on your technology expertise | 1st time using any SAS, let alone Viya. On one hand have programmed in Python before and on the other hand have used GUI tools such as Power BI and Tableau. |
Team photo |
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I'm super proud of my mentored SAS Hackathon Team POI as they just completed their very 1st (any) Hackathon and to boot, it's the very 1st time they have ever used any SAS software, let alone Viya (the main focus of the Hackathon).
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So many firsts, these folks are pioneers!
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Thanks to @TedStolarczyk for mentoring us through the hackathon. Your support and encouragement helped us complete it successfully. I’d love to keep in touch.
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Thanks @TedStolarczyk. I've learned a lot and gained experiences from SAS hackathon with your mentorship. Looking forward to the next hackathon