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7 Case Studies of Data Science and ML on Top Companies
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7 Case Studies of Data Science and ML on Top Companies

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April 6, 2023
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Last Updated on July 25, 2023 by Editorial Team

Author(s): Simranjeet Singh

Originally published on Towards AI.

Introduction

Data science and machine learning are revolutionizing the way businesses operate. Big MNCs like Starbucks, Amazon, Spotify, Google, Netflix, NASA, and GE Healthcare are using data science and machine learning to gain insights, improve customer experience, increase efficiency, and solve complex problems.

In this blog, we will explore 7 inspiring case studies of how data science and machine learning are used in these companies to achieve remarkable results.

Don’t Forget to Follow me on Linkedin and Comment your Views on my Case Studies and donate me on the Tip Button as I am from India and Not Eligible from Partner Program.

Case Study 1: Starbucks

Starbucks wanted to increase customer engagement and loyalty by providing personalized offers and recommendations based on their purchase history and behavior. They needed a data-driven solution to analyze customer data and identify patterns that could be used to create personalized marketing campaigns.

Check out the Below Link to know, How Starbucks solved this Problem:

Simranjeet Singh on LinkedIn: #casestudy #starbucks #datascience #machinelearning…

CaseStudy U+2615 #StarBucks #datascience Starbucks, the renowned coffee chain, has always been ahead of the curve when it…

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Case Study 2: Amazon Dynamic Pricing

Amazon is a vast e-commerce platform that sells millions of products across various categories. With such a large inventory, it becomes challenging to manage to price manually. Additionally, the pricing of products also needs to be adjusted based on various factors, such as demand, supply, and competitor pricing.

Check out the Below Link to know, How Amazon solved this Problem:

Simranjeet Singh's Post

CaseStudy #AmazonDynamicPricing #DataScience Amazon is an American multinational technology company primarily focused…

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Case Study 3: Spotify Recommendation Engine

Spotify uses machine learning to create personalized playlists and wants to Create a system that can recommend the right music to each user, based on their unique listening history and preferences. Spotify’s goal was to keep users engaged and subscribed to their platform by delivering an exceptional user experience.

Check out the Below Link to know, How Spotify solved this Problem:

Simranjeet Singh on LinkedIn: #casestudy #spotify #datascience #spotify…

U+1F680 7 Data Engineering Projects for FREE! U+1F468U+1F3FBU+1F4BB Here are the 7 Projects that you can start this weekend 1. Building…

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Case Study 4: Google Search Algorithm

Google uses machine learning to improve its search algorithm and provide more accurate and relevant results for users. The problem that Google was facing was that the search algorithm wasn’t delivering the most relevant results to users. Google wanted to improve the algorithm and provide users with more accurate and relevant search results.

Check out the Below Link to know, How Google solved this Problem:

Simranjeet Singh on LinkedIn: #casestudy #google #datascience #googlesearchalgorithm…

U+1F680 7 Data Engineering Projects for FREE! U+1F468U+1F3FBU+1F4BB Here are the 7 Projects that you can start this weekend 1. Building…

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Case Study 5: Netflix Recommendation Engine

Netflix uses machine learning to create personalized recommendations for its users. The main challenge for Netflix is to keep its subscribers engaged by providing personalized content recommendations. If the platform fails to provide recommendations based on user’s interests, it may lose subscribers to its competitors.

Check out the Below Link to know, How Netflix solved this Problem:

Simranjeet Singh's Post

U+1F680 Netflix Recommendation Engine Case Study with Data Science and Python.

Case Study 6: NASA Climate Change

NASA uses data science to study and understand the impact of climate change on our planet. Climate change is a global problem that affects the environment, ecosystems, and people’s lives. NASA has been collecting satellite data for decades, but the analysis of this data to monitor climate change is a challenging and time-consuming task. Traditional methods for analyzing satellite data require a lot of human effort and time, and may not be able to process the data efficiently. So build a method for fast analysis.

Check out the Below Link to know, How NASA solved this Problem:

Simranjeet Singh on LinkedIn: #casestudy #nasa #datascience #nasa #machinelearning…

U+1F680 7 Data Engineering Projects for FREE! U+1F468U+1F3FBU+1F4BB Here are the 7 Projects that you can start this weekend 1. Building…

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Case Study 7: GE Healthcare Image Analysis

GE Healthcare uses machine learning to analyze medical images and improve diagnostics. One of the challenges in this field is accurately analyzing medical images to detect potential diseases and conditions. The manual process is time-consuming and prone to errors. To address this problem, GE Healthcare implemented machine learning algorithms to improve the accuracy and speed of medical image analysis and diagnosis.

Check out the Below Link to know, How NASA solved this Problem:

Simranjeet Singh on LinkedIn: #casestudy #gehealthcare #datascience #gehealthcare…

U+1F680 Learn How GE Healthcare use Data Science and AI to solve the Medical Probelm in Image Analysis.

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Final Thoughts

The case studies range from retail and entertainment to healthcare and climate change, demonstrating the versatility and value of these technologies in various industries. By highlighting real-world examples, this blog not only educates readers on the practical applications of data science and machine learning, but also inspires them to explore the possibilities of these technologies in their own work.

To Know more and Want me to keep on making Posts like this, Follow Me and Comment your views to keep me motivating and donate me on the Tip Button as I am from India and Not Eligible from Partner Program

If you like the article and would like to support me make sure to:

U+1F44F Clap for the story (100 Claps) and follow me U+1F449U+1F3FBSimranjeet Singh

U+1F4D1 View more content on my Medium Profile

U+1F514 Follow Me: LinkedIn U+007C Medium U+007C GitHub U+007C Twitter U+007C Telegram

U+1F680 Help me in reaching to a wider audience by sharing my content with your friends and colleagues.

U+1F393 If you want to start a career in Data Science and Artificial Intelligence and you do not know how? I offer data science and AI mentoring sessions and long-term career guidance.

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//Articles to skip let articleIdsToSkip = ['post-2651', 'post-3414', 'post-3540']; //keyword with its related achortag is recieved here along with article id function searchAndReplace(keyword, anchorTag, articleId) { //selects the h3 h4 and p tags that are inside of the article let content = document.querySelector(`#${articleId} .entry-content`); //replaces the "linktext" in achor tag with the keyword that will be searched and replaced let newLink = anchorTag.replace('linktext', keyword); //regular expression to search keyword var re = new RegExp('(' + keyword + ')', 'g'); //this replaces the keywords in h3 h4 and p tags content with achor tag content.innerHTML = content.innerHTML.replace(re, newLink); } function articleFilter(keyword, anchorTag) { //gets all the articles var articles = document.querySelectorAll('article'); //if its zero or less then there are no articles if (articles.length > 0) { for (let x = 0; x < articles.length; x++) { //articles to skip is an array in which there are ids of articles which should not get effected //if the current article's id is also in that array then do not call search and replace with its data if (!articleIdsToSkip.includes(articles[x].id)) { //search and replace is called on articles which should get effected searchAndReplace(keyword, anchorTag, articles[x].id, key); 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mlclinks = document.querySelectorAll(`#${c.id} .entry-content a.mlc-link`); llinks = document.querySelectorAll(`#${c.id} .entry-content a.l-link`); pbplinks = document.querySelectorAll(`#${c.id} .entry-content a.pbp-link`); //sending the anchor tags list of each article one by one to remove extra anchor tags removeLinks(dslinks); removeLinks(mllinks); removeLinks(ailinks); removeLinks(nllinks); removeLinks(deslinks); removeLinks(tdlinks); removeLinks(iaslinks); removeLinks(mlclinks); removeLinks(llinks); removeLinks(pbplinks); } }); } //To remove extra achor tags of each category (ds, ml, ai) and only have 2 of each category per article cleanLinks(); */ //Recommended Articles var ctaLinks = [ /* ' ' + '

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