Fermé

R program based Analysis

I have attached the dataset in zip file.

Topics

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Topic 1: Logistics 4.0 and the rise of of big data analytics

Points:

Trend analysis for lead time/shipping cost according to customer area/route optimization/last mile delivery data/customer analysis according to area and product category

Topic 2: The applied role of data analytics in tactical decision making strategies in Supply Chain

Points:

How can data analytics help in improve the decisions leading to efficiency and improved output?

for example: optimized demand planning, price optimization, optimized inventory management, better supply decision

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You have to complete two options from each topic.

This has either to be in R or SaS.

I am looking for new talent so I will prefer new freelancers with previous work experience.

You must have a well maintained portfolio.

You to give complete detailed analysis with visualization as well.

I have planned few things for topic 2 which I will discuss with selected freelancers.

Thanks

Compétences : Langage de programmation R, Analyses statistiques, Statistiques SPSS, Rédaction scientifique, Data Analysis

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Concernant l'employeur :
( 0 commentaires ) Patna, India

Nº du projet : #24058546

4 freelance font une offre moyenne de ₹3238 pour ce travail

citijayamala

1.I am an expert in R programming, Statistics, regression analysis, using both Excel and SPSS, also expert in Excel, Excel formulas, and all excel functions, macros, lookup, pivot tables and charts. [login to view URL] done many p Plus

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6.6
ZeeshanShah22

I am a statistical analyst, with strong background of Pure Statistics including strong grip on statistical software: SPSS, Excel, Minitab, STATA, Mathematica, Statistica and Eviews. Brilliant skills in Sample Size Dete Plus

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aanoble

i am good with R programming. send to me a message if you would like to work with me. furthermore, i am not difficult to work with

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fbmaria

Hi, I'm a new member. Your project sounds really exciting, I would be glad to help you! I have ample experience in data mining, statistical analysis, data visualization and modeling with R - it's my day-to-day work. I Plus

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