Join us tonight, October 29th, at 6 PM EST for a special edition of the Kura Labs Speaker Series! We are excited to welcome Ibrahima Diallo, a former Kura student and current Site Reliability Engineer (SRE) at Morgan Stanley. He’ll be joining Sheldon Gilbert and the students of Cohort 5 for an engaging fireside chat. Ibrahima will share his inspiring journey "from Traffic to Terraform" and offer insights into his work with automated infrastructure deployments at a top global financial institution. Register now to join us via this link: https://lnkd.in/eCH_56nx
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MSc Computing & Information Systems | Full Stack Developer | Specialized in Safety Tech Solutions | BSc Computer Applications | Expert in Web & Mobile App Development | Innovating Community Safety through Technology
Just wrapped up the Software Engineering simulation at J.P. Morgan on Forage. During the simulation, I: - Set up a local dev environment by downloading necessary files, tools, and dependencies. - Fixed broken files in the repository to ensure the web application output was correct. - Utilized JPMorgan Chase’s open source library, Perspective, to create a live graph displaying a data feed in a visually appealing way for traders to monitor. Excited to share my experience! Check out the simulation here: [Link to the simulation](https://lnkd.in/ewFKd_Kk)
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So, the answers for quiz-7 to12 will be Quiz No-7 (all of the above)-Right Answer Quiz No-8 (Minecraft was created by Markus alexej Persson created it in 2009) Quiz No-9 (the First Windows was Created on November 20, 1985) Quiz No-10 (Everything is Interconnected with each other so there is no specific answer) Quiz No-11 (Everyone are right Price/EPS) =PE Quiz No-12 (Wrong answer Given) (its fidelity Investments) (as the Company Blackrock have highest number of earnings in assets Under Mangement so I Understand why people have given this answer)
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KWOK (Kubernetes-WithOut-Kubelet) is a toolkit that enables setting up a cluster of thousands of nodes in seconds. Under the scene, all Nodes are simulated to behave like real ones, so the overall approach employs a pretty low resource footprint. More: https://lnkd.in/gx6eMsYK
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Being a back bencher and Avg student I never scored more than 90% in any subject except Computer Related. as Professor of Practice at KL University, Vaddeswaram , got 91% positive response.I know backbenchers mindset... LearnWithFun,I love making complex things easy to understand,especially Cryptographic algorithms like AES, SHA
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New blog post dropped on the Resonate HQ blog exploring Deterministic Simulation Testing In this post, we’ll demystify DST by constructing an accurate yet concise mental model. We will explore the theoretical foundations and practical applications—and why I believe DST will soon become indispensable for developing distributed systems. https://lnkd.in/gjUqmRvU
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DJSCE'27 | 2x Hackathon Winner ?? | Intern @SoundSafe.ai | Diploma Holder in Computer Engineering | Web Developer | Python Developer
?? Excited to share that I’ve just completed the Software Engineering program by J.P. Morgan on Forage! ?? During the simulation, I had the opportunity to: ?? Set up a local development environment by downloading and configuring the necessary files, tools, and dependencies. ?? Debug and fix issues in the repository to ensure the web application outputs correctly. ?? Utilize J.P. Morgan Chase’s open-source library, Perspective, to create a live graph for traders, making data feeds clear and visually appealing. #SoftwareEngineering #JPMorgan #Forage #WebDevelopment #DataVisualization
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Excited to share that I scored 93% on the WorldQuant University Masters of Financial Engineering Proficiency exam! Feeling proud of the hard work that led to this milestone, and I’m looking forward to officially starting classes in January 2025. This journey is just beginning, and I’m eager to dive deeper into the world of quantitative finance! #FinanceEngineering #QuantitativeAnalysis #ProudMoment #NextChapter #WorldQuant
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I make data science and AI projects successful. Combining data and creativity, I have led teams to deliver more than $600M through customer engagement. (Sr. Strategist, Customer Engagement)
Here’s a resource for the upcoming eclipse.
Join Professor Nils Deppe on March 25 to learn more about the upcoming eclipse.
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Happy first day of summer, everyone! While I hope you're enjoying the sunshine, I encourage you to take a moment to check out my latest post! In this post, I dive into the Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) models, specifically the GARCH(1,1) model. I discuss the general framework of the model, use the MSGARCH package in R to demonstrate an example of forecasting volatility, and examine the potential shortcomings of certain model distribution assumptions. For those more interested in economic implications, I utilize the model's volatility forecasts to rebalance a 2-asset portfolio (risky and risk-free assets) with the aim of optimizing the Sharpe ratio. I compare the risk-adjusted returns of this dynamically allocated portfolio to a standard 60/40 approach, showcasing the advantages of using conditional volatility models in portfolio allocation. Interested in trying it out for yourself? Download the R code from my GitHub through this link: https://lnkd.in/eF6uMb8t
