Daily Fantasy Sports Optimizer

Looking for an individual that is extremely skilled with numbers, formulas, and knowledge in sports statistics. I need something that is comparable to fantasycruncher.com. The vision I have for this program will create a projection for the MLB player for his game that day. I would like there to be multiple factors in order to create each projection (suggestions are also welcomed). Some of the factors I would love to include area last 3 game average, ballpark factor, righty batter vs lefty pitcher and or reverse splits, weather/wind factor, personal life upswings/downswings which can impact play on the field.

Once projections are created I would like to be able to create multiple lineups in drafting format. Draftkings format will include a budget of $50,000:

2 starting pitchers

1 catcher

1 First Baseman

1 Second Baseman

1 Third Baseman

1 Short Stop

3 Outfielders

I would also like a way for this program to learn from previous contest winners and adapt to which stacks or lineups to best play for each slate size. What I mean is one day there will be a 6 game slate, one day there will be a 13 game slate. The optimizer should learn from previous contest results which budget best fits that slate, and which stack (ie: 5 from one team/2 from one team/1 stand-alone batter, 4 from one team/3 from one team/1 standalone batter, this format is for Batters only and not starting pitchers)

This is just a basic layout of what is needed. We can talk more in depth thru chat or a voice chat on discord if need be.

Habilidades: Inteligência Artificial, Data Analytics, Processamento de dados, Machine Learning (ML), Python

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Acerca do Empregador:
( 0 comentários ) Vladivostok, Russian Federation

ID do Projeto: #19605595

5 freelancers estão ofertando em média $22/hora para esse trabalho


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$22 USD / hora
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$20 USD / hora
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$22 USD / hora
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$22 USD / hora
(0 Comentários)

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$24 USD / hora
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