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Optimized Machine Learning Supply Allocation

₹600-1500 INR

Disiarkan sekitar 2 bulan yang lalu

₹600-1500 INR

Dibayar semasa penghantaran
a platform like Uber wants efficient matching supply and demand in real-time. riders can always get a ride and drivers have stable earnings. I expect you to: Explore the data and suggest a solution to guide the drivers towards areas with higher expected demand at a given time and location Build and document a baseline model for your solution & Describe how to communicate model recommendations to drivers Think through and describe the design of the experiment that would validate your solution for live operations taking into account marketplace specifics need this to be done in 3 days data can be found here : [login to view URL]
ID Projek: 37790467

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6 cadangan
Projek jarak jauh
Aktif 16 hari yang lalu

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6 pekerja bebas membida secara purata ₹6,867 INR untuk pekerjaan ini
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Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.
₹25,000 INR dalam 7 hari
5.0 (45 ulasan)
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Hi there, I checked your requirements and guarantee you that i have relevant experience in Python it's gonna be done within the next few hours . Let's contact via chat so that I can start work immediately
₹9,050 INR dalam 3 hari
4.9 (29 ulasan)
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Hi, I have expertise in demand and supply planning and have 7+ years of experience working in operations management and inventory planning, i can analyze data and provide you a best solution to solve exisiitng ride problem Let's chat! Thanks
₹1,050 INR dalam 7 hari
5.0 (2 ulasan)
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With the project mandate to optimize supply allocation and drive real-time efficiency that mimics a platform like Uber, I am convinced that your search for a seasoned software developer ends with me. My experience in multiple industries, including deep-tech, is a testament to my versatility and adaptability - qualities that are crucial for tackling your complex dataset. My expertise in Machine Learning (ML) using Python could be the edge your project needs to transform the way you assign supply and match demand. Drawing insights from extensive data exploration exercises, I am adept at suggesting solutions and building baseline models tailored precisely to the needs of businesses, bringing stability to earnings for drivers while guaranteeing riders an efficient service. Additionally, my skillfulness in backend development leveraging frameworks such as Django/Flask/FastAPI combined with my acumen in front-end technologies like React/Angular/Vue primes me perfectly for delivering an end-to-end solution for your marketplace. Moreover, my familiarity with cloud computing platforms, especially AWS, will greatly facilitate optimizing your service and ensuring it runs seamlessly even at peak times. Let me prove once again "impossible" is just a word by exceeding your expectations - let's transform what's possible together. Let's discuss how we can solidify this efficiency shift within your 3-day timeframe using the data from: [link].
₹1,500 INR dalam 1 hari
0.0 (0 ulasan)
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I have extensive experience in data analysis and machine learning, enabling me to handle the task of analyzing 50 prediction results from ML models My skills are independently testing data sets, identifying patterns, and testing prediction history considered. By applying my analytical skills, I can better identify which models provide the most accurate predictions, gain insights from the independent and fused datasets of the training data. This knowledge positions me to confidently choose the best model for the 51st data based on thorough analysis and informed decision making.
₹600 INR dalam 7 hari
0.0 (0 ulasan)

Tentang klien

Bendera INDIA
Pune, India
Kaedah pembayaran disahkan
Ahli sejak Okt 22, 2018

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