Divyanshu Bargali on LinkedIn: Associate -Digital Product Management | Careers at American Express (2024)

Divyanshu Bargali

Product @AmEx | Spring Boot | Java | Python | Hadoop | BigData

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American Express is hiring Associate in Digital Product Management with 6 to 24 months of relevant industry experience.Update: Applications are now closed.https://lnkd.in/gn8B4ezB#hiring #AmEx #analytics #data

Associate -Digital Product Management | Careers at American Express aexp.eightfold.ai

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Ashish Kumar Jha

Product | Data Analyst | Fintech & SaaS

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Interested

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Anshuman Upadhyay

Tech Lead @ American Express

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Anant Tiwari

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Akhil Rana

American Express || Panjab University

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ARJIT SRIVASTAVA

Data & Business Analytics @American Express || Availability Insights - Audit & Compliance || Ai/ML || IT Service Management || ITIL V4 Certified || EX - HCL || EX - Concentrix

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CFBR

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  • Divyanshu Bargali

    Product @AmEx | Spring Boot | Java | Python | Hadoop | BigData

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    🚗Ride sharing services like Uber, Ola or Food Delivery Services like Zomato, Swiggy have something in common. These services takes an order/request and match the request to the nearest agent (delivery partner / driver).🌐Suppose there were 100 drivers, how to find top 5 nearest to a point? The simple way is to calculate the distance between all the drivers to the point. But that's not really scalable if there were a few hundred thousand drivers and thousands of requests at the same time.📖Quad Trees are an efficient datastructure, that can be used to solve our problem. Each quad tree node has 4 children, representing 4 sub-quadrants of a 2-D plane.Checkout my article explaining Quad Trees which includes a simple implementation in Python!#QuadTrees #RideSharing #FoodDelivery #Algorithms

    Exploring Quad Trees: Finding Nearby Drivers for a Ride-Sharing Service link.medium.com

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  • Divyanshu Bargali

    Product @AmEx | Spring Boot | Java | Python | Hadoop | BigData

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    Ever wondered what happens when you enter a URL🌐into your browser? Let's break it down:1. Deconstructing the URL: A URL consists of three parts: the scheme (e.g., HTTP, HTTPS), the domain (e.g., example-site.com), and the resource path (e.g., /product/electric/phone).2. DNS Resolution: Your browser looks up the domain's IP address using the Domain Name System (DNS). It checks its cache for a previous resolution; if not found, it queries the operating system (OS). The OS, in turn, queries its cache and then forwards the request to the DNS resolver provided by the Internet Service Provider (ISP).3. Establishing Connection: Once the IP is obtained, the browser sets up a TCP connection with the server. For HTTPS, it adds an SSL/TLS handshake for security.4. Routing and Load Balancing: Request packets are routed to the server, often via load balancers to distribute the load. 🔄5. Server Response:The server processes the request and sends back static files (HTML, CSS, etc.).6. Rendering in the Browser: The OS delivers the received content to the browser, which interprets and renders it for display to the user.Understanding this process gives insight into the seamless browsing experience we enjoy. Stay curious! 💡✨ #WebDev101 #TechSimplified

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  • Divyanshu Bargali

    Product @AmEx | Spring Boot | Java | Python | Hadoop | BigData

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    I am thrilled to announce that I have been promoted to Senior Analyst at American Express! I am incredibly grateful for the opportunities and support that I have received during my time here, and I am looking forward to taking on this new challenge with enthusiasm and dedication.Thank you to everyone who has been a part of my journey thus far. I am truly excited to embark on this new chapter!#CareerGrowth #Grateful #NewChapter #TeamWork #Success #Excited #teamamex

    • Divyanshu Bargali on LinkedIn: Associate -Digital Product Management | Careers at American Express (18)

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  • Divyanshu Bargali

    Product @AmEx | Spring Boot | Java | Python | Hadoop | BigData

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    American Expressis hiring 🚀Role - Engineer - Java, Microservices, React JSLocation - Bengaluru Urban, Karnataka, IndiaApply Here -https://lnkd.in/gksAt7qeReach out for any questions. All the best. 👍

    Engineer - Java, Microservices, React JS | Careers at American Express aexp.eightfold.ai

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  • Divyanshu Bargali

    Product @AmEx | Spring Boot | Java | Python | Hadoop | BigData

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    American Express is hiring 🚀Role - Analyst-Data ScienceLocation - Gurgaon, IndiaApply Here - https://lnkd.in/d9H_upbTReach out for any questions. All the best. 👍

    Analyst-Data Science | Careers at American Express aexp.eightfold.ai

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  • Divyanshu Bargali

    Product @AmEx | Spring Boot | Java | Python | Hadoop | BigData

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    I recently participated in a 48-hour hackathon, and what an incredible experience it was! 💡My team and I took on the challenge of creating something innovative from scratch. The pressure was on, but the adrenaline and passion kept us going non-stop. The thrill of building a project under time constraints was both exhilarating and rewarding.But it wasn't just about the competition; it was also about the collaboration. Working alongside talented individuals with diverse skills and backgrounds was a true highlight. We learned from each other, overcame obstacles together, and had a blast doing it! 🤝In the end, our hard work paid off, and we presented our project with pride. The feeling of accomplishment is indescribable, and I'm so grateful for the experience.Massive thanks to the organizers at American Express for putting together such an amazing event and to my team for their dedication. Here's to many more hackathons and limitless creativity! 🚀👩💻👨💻 #Hackathon #Innovation #Teamwork #CodingPassion

    • Divyanshu Bargali on LinkedIn: Associate -Digital Product Management | Careers at American Express (29)

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  • Divyanshu Bargali

    Product @AmEx | Spring Boot | Java | Python | Hadoop | BigData

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    Top 5 Noteworthy System Design Articles I read this year.1. How discord stores trillions of messages - https://lnkd.in/dMjn283zA good read on how Discord fixed the high latency problem of their DB and the migration to ScyllaDB.2. System Design: Uber - https://lnkd.in/ddacfqn2An amazing, beginner-friendly article that details the intricacies of designing a ride-hailing service like Uber.3. System Design: Netflix - https://lnkd.in/di3tR3axAnother great article by Karan Pratap Singh; the concept of video processing in a streaming service is remarkablely explained.4. Monolithic vs. Microservices Architecture - https://lnkd.in/daef-iwhDefinitely a must read to understand the complexities involved in designing microservice architechture.5. Redis Internals: why is it so fast? - https://lnkd.in/dW_2jpUyRedis offers a fast, in-memory data store, used popularly for caching. I have very recently started exploring about it and this article is a good read to understand redis internals

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