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        <title><![CDATA[Stories by Saranga Kumarapeli on Medium]]></title>
        <description><![CDATA[Stories by Saranga Kumarapeli on Medium]]></description>
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            <title>Stories by Saranga Kumarapeli on Medium</title>
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            <title><![CDATA[Why Data Engineering Emerged and Why Fundamentals Triumph Over Fads]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/towards-data-engineering/why-data-engineering-emerged-and-why-fundamentals-triumph-over-fads-f6df744950c2?source=rss-27f873753139------2"><img src="https://cdn-images-1.medium.com/max/2600/1*H4KFJ1oSc90QikRsztJYCg.png" width="2752"></a></p><p class="medium-feed-snippet">Data engineering has emerged from the shadows to share the technological stage with data science, having become one of the hottest fields&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/towards-data-engineering/why-data-engineering-emerged-and-why-fundamentals-triumph-over-fads-f6df744950c2?source=rss-27f873753139------2">Continue reading on Towards Data Engineering »</a></p></div>]]></description>
            <link>https://medium.com/towards-data-engineering/why-data-engineering-emerged-and-why-fundamentals-triumph-over-fads-f6df744950c2?source=rss-27f873753139------2</link>
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            <category><![CDATA[data-science]]></category>
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            <dc:creator><![CDATA[Saranga Kumarapeli]]></dc:creator>
            <pubDate>Thu, 27 Nov 2025 19:53:59 GMT</pubDate>
            <atom:updated>2025-11-28T08:00:21.579Z</atom:updated>
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            <title><![CDATA[About Me — Saranga Kumarapeli]]></title>
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            <category><![CDATA[data-science]]></category>
            <category><![CDATA[python]]></category>
            <category><![CDATA[about-me]]></category>
            <category><![CDATA[rpa-tools]]></category>
            <dc:creator><![CDATA[Saranga Kumarapeli]]></dc:creator>
            <pubDate>Tue, 23 Sep 2025 20:00:42 GMT</pubDate>
            <atom:updated>2025-11-27T16:38:07.969Z</atom:updated>
            <content:encoded><![CDATA[<h3>About Me — Saranga Kumarapeli</h3><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*e3K0Yng8ilH06th-QRtZUA.png" /><figcaption>It’s Me :)</figcaption></figure><p>Hi, I’m <strong>Saranga Kumarapeli</strong>. I work as a Data Scientist, and what excites me most is using data to solve real problems. For me, data is not just about numbers or charts, it’s about creating tools and insights that actually help people in their day-to-day work.</p><p>Right now, I’m at <strong>MAS ACME USA,</strong> driving projects in analytics, business intelligence, and research-driven initiatives. I also teach as a Visiting Lecturer at the <strong>Informatics Institute of Technology,</strong> where I cover subjects like Data Mining, Machine Learning, Data Modeling, and Database Systems. Teaching and supervising research has been a great way for me to give back while also learning from fresh perspectives.</p><p>Before this role, I worked at <strong>MAS Active</strong> in Data Analytics and Digital Excellence. I got to build a fabric defect detection tool, design an AI model for invoice extraction, and contribute to dashboards like the EXCO Dashboard and Supplier Scorecard. I also spent time building RPA solutions, Power Apps, and digital automation projects that helped teams save time and work more efficiently.</p><p>Along the way, I’ve explored different paths. I worked as a <strong>Freelance Data Scientist</strong> on advanced analytics projects, joined <strong>Kainovation Technologies</strong> as a trainee working on POCs like Twitter sentiment analysis and web scraping, and started out at <strong>Silueta Technologies</strong> as an Industrial Engineer. That first role gave me hands-on exposure to smart factory systems, OEE analytics, and finance transformation tools, which sparked my interest in combining data with business.</p><p>All of these experiences have shaped me into someone who can connect technical ideas with real business impact. I enjoy building things that are practical, scalable, and actually useful.</p><p>Here on Medium I write about data science, AI, and business intelligence. I don’t just share technical notes, I share lessons from real projects, the challenges I’ve faced, and the wins I’ve celebrated. My goal is to make complex ideas simple, spark curiosity, and connect with people who are just as passionate about innovation and learning as I am.</p><blockquote>✨Thank you so much for spending your time here with me. If you found even a little spark of value in this piece, I’d be truly grateful if you could support me. It helps me keep creating and sharing more. Your encouragement means the world ❤️</blockquote><img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=4746821292cf" width="1" height="1" alt=""><hr><p><a href="https://medium.com/about-me-stories/about-me-saranga-kumarapeli-4746821292cf">About Me — Saranga Kumarapeli</a> was originally published in <a href="https://medium.com/about-me-stories">About Me Stories</a> on Medium, where people are continuing the conversation by highlighting and responding to this story.</p>]]></content:encoded>
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        <item>
            <title><![CDATA[How to Integrate Power BI with Private GitHub Repositories for Data Analysis]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/microsoft-power-bi/integrating-power-bi-with-private-github-repositories-for-data-analysis-5f56a79888df?source=rss-27f873753139------2"><img src="https://cdn-images-1.medium.com/max/1280/0*jlUDCca40CKNHT2M" width="1280"></a></p><p class="medium-feed-snippet">In the modern data analysis landscape, accessing and analyzing diverse datasets is critical to gaining insights and making informed&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/microsoft-power-bi/integrating-power-bi-with-private-github-repositories-for-data-analysis-5f56a79888df?source=rss-27f873753139------2">Continue reading on Power BI »</a></p></div>]]></description>
            <link>https://medium.com/microsoft-power-bi/integrating-power-bi-with-private-github-repositories-for-data-analysis-5f56a79888df?source=rss-27f873753139------2</link>
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            <category><![CDATA[power-bi-tutorials]]></category>
            <category><![CDATA[data-visualization]]></category>
            <category><![CDATA[power-bi]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Saranga Kumarapeli]]></dc:creator>
            <pubDate>Sun, 21 Sep 2025 06:44:46 GMT</pubDate>
            <atom:updated>2025-09-24T12:22:12.480Z</atom:updated>
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            <title><![CDATA[Understanding AWS Modern Data Architecture: How Amazon S3 Connects the Dots]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science-collective/understanding-aws-modern-data-architecture-how-amazon-s3-connects-the-dots-06fa503b4889?source=rss-27f873753139------2"><img src="https://cdn-images-1.medium.com/max/1890/1*kRD33fAzD4ooY_fGhVt2sw.png" width="1890"></a></p><p class="medium-feed-snippet">In today&#x2019;s fast-changing technology world, storing data in a way that is both secure and efficient is essential. Modern organizations need&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/data-science-collective/understanding-aws-modern-data-architecture-how-amazon-s3-connects-the-dots-06fa503b4889?source=rss-27f873753139------2">Continue reading on Data Science Collective »</a></p></div>]]></description>
            <link>https://medium.com/data-science-collective/understanding-aws-modern-data-architecture-how-amazon-s3-connects-the-dots-06fa503b4889?source=rss-27f873753139------2</link>
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            <category><![CDATA[cloud-computing]]></category>
            <category><![CDATA[technology]]></category>
            <category><![CDATA[aws]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[data-engineering]]></category>
            <dc:creator><![CDATA[Saranga Kumarapeli]]></dc:creator>
            <pubDate>Wed, 12 Feb 2025 03:15:58 GMT</pubDate>
            <atom:updated>2025-11-27T09:43:28.596Z</atom:updated>
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        <item>
            <title><![CDATA[Building a Future-Ready Data Infrastructure: The 5 Vs That Guide Strategic Decisions]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://ai.plainenglish.io/building-a-future-ready-data-infrastructure-the-5-vs-that-guide-strategic-decisions-21aa39d27193?source=rss-27f873753139------2"><img src="https://cdn-images-1.medium.com/max/1065/1*3Z2sOo2aTxaCLYl-fYclow.png" width="1065"></a></p><p class="medium-feed-snippet">Data is growing at a faster pace than ever, and modern organizations must create infrastructures that can keep up. During my AWS Data&#x2026;</p><p class="medium-feed-link"><a href="https://ai.plainenglish.io/building-a-future-ready-data-infrastructure-the-5-vs-that-guide-strategic-decisions-21aa39d27193?source=rss-27f873753139------2">Continue reading on Artificial Intelligence in Plain English »</a></p></div>]]></description>
            <link>https://ai.plainenglish.io/building-a-future-ready-data-infrastructure-the-5-vs-that-guide-strategic-decisions-21aa39d27193?source=rss-27f873753139------2</link>
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            <category><![CDATA[data-science]]></category>
            <category><![CDATA[big-data]]></category>
            <category><![CDATA[software-engineering]]></category>
            <category><![CDATA[aws]]></category>
            <category><![CDATA[cloud-computing]]></category>
            <dc:creator><![CDATA[Saranga Kumarapeli]]></dc:creator>
            <pubDate>Sat, 01 Feb 2025 23:35:13 GMT</pubDate>
            <atom:updated>2025-02-01T23:35:13.936Z</atom:updated>
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        <item>
            <title><![CDATA[Designing a Future-Proof Data Pipeline: A Comprehensive Look from Ingestion to AI]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science-collective/designing-a-future-proof-data-pipeline-a-comprehensive-look-from-ingestion-to-ai-26a40c6e6497?source=rss-27f873753139------2"><img src="https://cdn-images-1.medium.com/max/1366/1*1wEbaDaI9EwKKaoJUSYD4A.png" width="1366"></a></p><p class="medium-feed-snippet">While taking an AWS Data Engineering training course, I came across this insightful image that illustrates the different questions and&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/data-science-collective/designing-a-future-proof-data-pipeline-a-comprehensive-look-from-ingestion-to-ai-26a40c6e6497?source=rss-27f873753139------2">Continue reading on Data Science Collective »</a></p></div>]]></description>
            <link>https://medium.com/data-science-collective/designing-a-future-proof-data-pipeline-a-comprehensive-look-from-ingestion-to-ai-26a40c6e6497?source=rss-27f873753139------2</link>
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            <category><![CDATA[software-development]]></category>
            <category><![CDATA[aws]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[software-engineering]]></category>
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            <dc:creator><![CDATA[Saranga Kumarapeli]]></dc:creator>
            <pubDate>Sat, 01 Feb 2025 22:40:40 GMT</pubDate>
            <atom:updated>2025-02-01T22:40:40.944Z</atom:updated>
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            <title><![CDATA[Introduction to Generative AI: Unlocking the Power of Machine Creativity]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://ai.plainenglish.io/introduction-to-generative-ai-unlocking-the-power-of-machine-creativity-241822749496?source=rss-27f873753139------2"><img src="https://cdn-images-1.medium.com/max/1280/1*_s8_mZgJgYPADNeL7Qpnmg.png" width="1280"></a></p><p class="medium-feed-snippet">Introduction</p><p class="medium-feed-link"><a href="https://ai.plainenglish.io/introduction-to-generative-ai-unlocking-the-power-of-machine-creativity-241822749496?source=rss-27f873753139------2">Continue reading on Artificial Intelligence in Plain English »</a></p></div>]]></description>
            <link>https://ai.plainenglish.io/introduction-to-generative-ai-unlocking-the-power-of-machine-creativity-241822749496?source=rss-27f873753139------2</link>
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            <category><![CDATA[ai]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Saranga Kumarapeli]]></dc:creator>
            <pubDate>Fri, 14 Jun 2024 03:06:43 GMT</pubDate>
            <atom:updated>2024-06-14T03:07:36.147Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[How to Get Your System Information Using Python Code]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://blog.stackademic.com/how-to-get-your-system-information-using-python-code-c50a00dbf261?source=rss-27f873753139------2"><img src="https://cdn-images-1.medium.com/max/728/1*Jstgqs9HySkgCOrL0yPPeA.png" width="728"></a></p><p class="medium-feed-snippet">In the world of programming, accessing system information is a common requirement for various tasks such as troubleshooting, optimization&#x2026;</p><p class="medium-feed-link"><a href="https://blog.stackademic.com/how-to-get-your-system-information-using-python-code-c50a00dbf261?source=rss-27f873753139------2">Continue reading on Stackademic »</a></p></div>]]></description>
            <link>https://blog.stackademic.com/how-to-get-your-system-information-using-python-code-c50a00dbf261?source=rss-27f873753139------2</link>
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            <category><![CDATA[data-science]]></category>
            <category><![CDATA[python]]></category>
            <category><![CDATA[technology]]></category>
            <dc:creator><![CDATA[Saranga Kumarapeli]]></dc:creator>
            <pubDate>Fri, 17 Nov 2023 02:01:36 GMT</pubDate>
            <atom:updated>2025-09-30T15:41:50.254Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[Twitter Sentiment Analysis Using Huggingface]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://blog.stackademic.com/twitter-sentiment-analysis-using-huggingface-782d7856cf1b?source=rss-27f873753139------2"><img src="https://cdn-images-1.medium.com/max/2600/0*TTCZoPb3s9FYFUcx" width="3200"></a></p><p class="medium-feed-snippet">What is Sentiment Analysis?</p><p class="medium-feed-link"><a href="https://blog.stackademic.com/twitter-sentiment-analysis-using-huggingface-782d7856cf1b?source=rss-27f873753139------2">Continue reading on Stackademic »</a></p></div>]]></description>
            <link>https://blog.stackademic.com/twitter-sentiment-analysis-using-huggingface-782d7856cf1b?source=rss-27f873753139------2</link>
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            <category><![CDATA[data-analysis]]></category>
            <category><![CDATA[python]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Saranga Kumarapeli]]></dc:creator>
            <pubDate>Sat, 03 Dec 2022 14:47:08 GMT</pubDate>
            <atom:updated>2025-09-26T16:54:55.387Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[EDA With Twitter Data]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://blog.stackademic.com/eda-with-twitter-data-fc0db1dd35a1?source=rss-27f873753139------2"><img src="https://cdn-images-1.medium.com/max/2600/0*W4zEfRcbCFn6bEmz" width="4810"></a></p><p class="medium-feed-snippet">Here is a step-by-step guide on how to perform exploratory data analysis (EDA) on a pandas DataFrame using interactive visualizations:</p><p class="medium-feed-link"><a href="https://blog.stackademic.com/eda-with-twitter-data-fc0db1dd35a1?source=rss-27f873753139------2">Continue reading on Stackademic »</a></p></div>]]></description>
            <link>https://blog.stackademic.com/eda-with-twitter-data-fc0db1dd35a1?source=rss-27f873753139------2</link>
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            <category><![CDATA[twitter]]></category>
            <category><![CDATA[data-analysis]]></category>
            <category><![CDATA[python]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[data-engineering]]></category>
            <dc:creator><![CDATA[Saranga Kumarapeli]]></dc:creator>
            <pubDate>Sat, 03 Dec 2022 14:26:01 GMT</pubDate>
            <atom:updated>2025-09-26T16:54:50.222Z</atom:updated>
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