{
  "id": 372073,
  "title": "Competitor Feedback",
  "url": "/competitions/big-data-derby-2022/discussion/372073",
  "author_name": "",
  "post_date": "2022-12-14T02:42:24.596525200Z",
  "votes": 9,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Once again, we'd like to thanks everyone who participated in the 2022 Big Data Derby. This was our first data science competition and we learned a tremendous amount, not just about path efficiency or track bias, but about the nature of data analysis itself.</p>\n<p>As we wrap up the 2022 Big Data Derby, we'd like to do a few things to transition to a non-competitive yet analytic forward posture.</p>\n<p>1) We are looking to increase the use of data analytics in our sport and hope to have internal projects off the ground in 2023. If you are interested in working with horse racing data on a project basis, please email <a>analytics@nytha.com</a> with the subject as \"[FirstName] [LastName] Resume\" and your resume attached as PDF in form “[FirstName][LastName].pdf”. </p>\n<p>2) If you would like feedback on your 2022 Big Data Derby submission, please email <a>analytics@nytha.com</a> with the subject as \"[Notebook Title] Feedback\" and include a link to your notebook in the body of the email.  The feedback will be in the form of a few bullet points describing what the submission did well and how it could have been improved. There were so many great submissions, so please be patient as we attempt to get back to everyone.</p>\n<p>3) We would LOVE your feedback. We have seen the posts in the Discussion section, but this is an opportunity to give us direct feedback in a confidential manner. We have created the following google form, but if you want to send us something more expository, please email directly to <a>analytics@nytha.com</a></p>\n<p><a href=\"https://docs.google.com/forms/d/e/1FAIpQLSejGd-cOfQydNDxsr6B6u1tg2YEsUIFMzAxlgeBvLLqVVn0tQ/viewform?usp=sf_link\" target=\"_blank\">https://docs.google.com/forms/d/e/1FAIpQLSejGd-cOfQydNDxsr6B6u1tg2YEsUIFMzAxlgeBvLLqVVn0tQ/viewform?usp=sf_link</a></p>\n<p>Thank You All!!!</p>",
  "messages": [
    {
      "id": "2064661",
      "postDate": "12/14/2022 02:42:24",
      "content": "<p>Once again, we'd like to thanks everyone who participated in the 2022 Big Data Derby. This was our first data science competition and we learned a tremendous amount, not just about path efficiency or track bias, but about the nature of data analysis itself.</p>\n<p>As we wrap up the 2022 Big Data Derby, we'd like to do a few things to transition to a non-competitive yet analytic forward posture.</p>\n<p>1) We are looking to increase the use of data analytics in our sport and hope to have internal projects off the ground in 2023. If you are interested in working with horse racing data on a project basis, please email <a>analytics@nytha.com</a> with the subject as \"[FirstName] [LastName] Resume\" and your resume attached as PDF in form “[FirstName][LastName].pdf”. </p>\n<p>2) If you would like feedback on your 2022 Big Data Derby submission, please email <a>analytics@nytha.com</a> with the subject as \"[Notebook Title] Feedback\" and include a link to your notebook in the body of the email.  The feedback will be in the form of a few bullet points describing what the submission did well and how it could have been improved. There were so many great submissions, so please be patient as we attempt to get back to everyone.</p>\n<p>3) We would LOVE your feedback. We have seen the posts in the Discussion section, but this is an opportunity to give us direct feedback in a confidential manner. We have created the following google form, but if you want to send us something more expository, please email directly to <a>analytics@nytha.com</a></p>\n<p><a href=\"https://docs.google.com/forms/d/e/1FAIpQLSejGd-cOfQydNDxsr6B6u1tg2YEsUIFMzAxlgeBvLLqVVn0tQ/viewform?usp=sf_link\" target=\"_blank\">https://docs.google.com/forms/d/e/1FAIpQLSejGd-cOfQydNDxsr6B6u1tg2YEsUIFMzAxlgeBvLLqVVn0tQ/viewform?usp=sf_link</a></p>\n<p>Thank You All!!!</p>",
      "rawMarkdown": "Once again, we'd like to thanks everyone who participated in the 2022 Big Data Derby. This was our first data science competition and we learned a tremendous amount, not just about path efficiency or track bias, but about the nature of data analysis itself.\n\nAs we wrap up the 2022 Big Data Derby, we'd like to do a few things to transition to a non-competitive yet analytic forward posture.\n\n1) We are looking to increase the use of data analytics in our sport and hope to have internal projects off the ground in 2023. If you are interested in working with horse racing data on a project basis, please email analytics@nytha.com with the subject as \"[FirstName] [LastName] Resume\" and your resume attached as PDF in form “[FirstName][LastName].pdf”. \n\n2) If you would like feedback on your 2022 Big Data Derby submission, please email analytics@nytha.com with the subject as \"[Notebook Title] Feedback\" and include a link to your notebook in the body of the email.  The feedback will be in the form of a few bullet points describing what the submission did well and how it could have been improved. There were so many great submissions, so please be patient as we attempt to get back to everyone.\n\n3) We would LOVE your feedback. We have seen the posts in the Discussion section, but this is an opportunity to give us direct feedback in a confidential manner. We have created the following google form, but if you want to send us something more expository, please email directly to analytics@nytha.com\n\nhttps://docs.google.com/forms/d/e/1FAIpQLSejGd-cOfQydNDxsr6B6u1tg2YEsUIFMzAxlgeBvLLqVVn0tQ/viewform?usp=sf_link\n\nThank You All!!!",
      "votes": null
    },
    {
      "id": "2066140",
      "postDate": "12/15/2022 12:45:47",
      "content": "<p>Thank you Joe!🤝</p>",
      "rawMarkdown": "Thank you Joe!🤝",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2066140,
      "author_name": "asksawant",
      "author_url": "",
      "post_date": "12/15/2022 12:45:47",
      "content": "<p>Thank you Joe!🤝</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2064661": "Once again, we'd like to thanks everyone who participated in the 2022 Big Data Derby. This was our first data science competition and we learned a tremendous amount, not just about path efficiency or track bias, but about the nature of data analysis itself.\n\nAs we wrap up the 2022 Big Data Derby, we'd like to do a few things to transition to a non-competitive yet analytic forward posture.\n\n1) We are looking to increase the use of data analytics in our sport and hope to have internal projects off the ground in 2023. If you are interested in working with horse racing data on a project basis, please email analytics@nytha.com with the subject as \"[FirstName] [LastName] Resume\" and your resume attached as PDF in form “[FirstName][LastName].pdf”. \n\n2) If you would like feedback on your 2022 Big Data Derby submission, please email analytics@nytha.com with the subject as \"[Notebook Title] Feedback\" and include a link to your notebook in the body of the email.  The feedback will be in the form of a few bullet points describing what the submission did well and how it could have been improved. There were so many great submissions, so please be patient as we attempt to get back to everyone.\n\n3) We would LOVE your feedback. We have seen the posts in the Discussion section, but this is an opportunity to give us direct feedback in a confidential manner. We have created the following google form, but if you want to send us something more expository, please email directly to analytics@nytha.com\n\nhttps://docs.google.com/forms/d/e/1FAIpQLSejGd-cOfQydNDxsr6B6u1tg2YEsUIFMzAxlgeBvLLqVVn0tQ/viewform?usp=sf_link\n\nThank You All!!!",
    "2066140": "Thank you Joe!🤝"
  },
  "source": "meta"
}