Machine Learning Expert for Jewelry Inventory Optimization
₹12500-37500 INR
Pago na entrega
I am seeking a seasoned Machine Learning professional who can optimize our jewelry inventory. The ideal candidate will be able to extract necessary data from our SQL server, apply the optimization algorithm using Python, and deliver the results through a user-friendly graphical representation
Key Responsibilities:
- Understand and optimize stock levels based on historical sales data.
- Inform on which stock to remove and what to produce.
- Deliver results in bar chart format.
Ideal Skills:
- Proficient in Machine Learning and Python.
- Experienced with SQL server data extraction.
- Capable of creating clear, concise graphical representations of data.
Your ultimate goal will be to help us reduce unnecessary holding costs while maximizing stock availability and minimizing stockouts.
ID do Projeto: #38905171
Sobre o projeto
49 freelancers estão ofertando em média ₹24289 nesse trabalho
Top 1% in Freelancer.com Hi, Greetings! ✅checked your project details: ✅Completed Time: In project deadline We have worked on 900 + Projects. I have 6 + years of the experience in same kind of projects. If you are look Mais
Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including Mais
Hello, good time Hope you are doing well I'm expert in MATLAB/Simulink, Python, HTML5, CSS3, Java, JavaScript and C/C#/C++ programming and by strong mathematical and statistical background, have good flexibility for s Mais
Hi, I'm a Python specialist with the necessary skills to complete your project. I have skill sets for: • Analyze data sets using Python and the specified libraries. • Provide insights and visualizations based on the a Mais
With my five years of Python expertise and your project requiring a skilled Machine Learning professional fluent in Python, I believe I am the perfect fit for the job. In addition to having experience working with SQL Mais
As a seasoned Machine Learning specialist, with extensive experience in data extraction from SQL servers and proficiency in Python, I am confident I can add significant value to your jewelry inventory optimization proj Mais
Hello, I am excited to optimize your jewelry inventory. I will be able to extract necessary data from your SQL server, apply the optimization algorithm using Python, and deliver the results through a user-friendly grap Mais
Hi, I've read your description carefully. I have full experience with Python, Machine Learning. I can complete your project with high quality on time. Looking forward to hear more about the project from you via chatti Mais
Hello Suntech, I have carefully reviewed your project requirements for optimizing jewelry inventory using Machine Learning. My expertise in Machine Learning and Python aligns perfectly with your needs. I can efficient Mais
Hi Suntech C. I am Leo Yeung from Hong Kong who has over 8 years of experience in Software development. I'm really pumped about this opportunity! I have checked your job description for Machine Learning Expert for Je Mais
Greetings! How are you today? Thanks for posting this job. I have checked your project description. ✅I'm AI engineer also Developer with 6+ years experiment.✅ I am very familiar to Deep learning such as Tensorflow an Mais
Hello Suntech C., Thank you for considering our team for the Machine Learning Expert for Jewelry Inventory Optimization project. We have carefully reviewed your requirements and are confident in our ability to delive Mais
Proficient in Machine Learning and Python, I excel at optimizing inventory management. My experience with SQL data extraction has driven significant efficiency gains in similar projects. I’ll provide actionable insight Mais
Dear client, Hope you are doing well! As a data specialist with an expertise in Machine Learning and Python, I have successfully completed projects in optimizing inventory levels for varying sectors. I am well-versed Mais