<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: rsva</title><link>https://news.ycombinator.com/user?id=rsva</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 14 Apr 2026 12:15:54 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=rsva" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[Tool to explore regularly sampled time series]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/rajivsam/tseda">https://github.com/rajivsam/tseda</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47715256">https://news.ycombinator.com/item?id=47715256</a></p>
<p>Points: 16</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 10 Apr 2026 08:39:51 +0000</pubDate><link>https://github.com/rajivsam/tseda</link><dc:creator>rsva</dc:creator><comments>https://news.ycombinator.com/item?id=47715256</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47715256</guid></item><item><title><![CDATA[New comment by rsva in "Learning Graphs from Relational Daata [pdf]"]]></title><description><![CDATA[
<p>A lot of operational data and decision models are based on relational data models. From a standpoint of analytics and decision making, a graph data model exposes many tools that can be leveraged for this. For example, you can deal with the violation of the Independent, Identically Distributed assumption that many of us (knowingly or unknowingly) use with ML models. The relation to graph tool is a way to transform relational data into frequently encountered models for graph based analysis.</p>
]]></description><pubDate>Wed, 05 Nov 2025 08:20:20 +0000</pubDate><link>https://news.ycombinator.com/item?id=45820662</link><dc:creator>rsva</dc:creator><comments>https://news.ycombinator.com/item?id=45820662</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45820662</guid></item><item><title><![CDATA[Learning Graphs from Relational Daata [pdf]]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/rajivsam/descriptive_analytics/blob/main/examples/graph_from_relations/rel-to-graph-concepts.pdf">https://github.com/rajivsam/descriptive_analytics/blob/main/examples/graph_from_relations/rel-to-graph-concepts.pdf</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45758127">https://news.ycombinator.com/item?id=45758127</a></p>
<p>Points: 2</p>
<p># Comments: 1</p>
]]></description><pubDate>Thu, 30 Oct 2025 09:51:17 +0000</pubDate><link>https://github.com/rajivsam/descriptive_analytics/blob/main/examples/graph_from_relations/rel-to-graph-concepts.pdf</link><dc:creator>rsva</dc:creator><comments>https://news.ycombinator.com/item?id=45758127</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45758127</guid></item><item><title><![CDATA[Machine Learning and Optimization Consulting Work]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.r2-ds.com">https://www.r2-ds.com</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44234599">https://news.ycombinator.com/item?id=44234599</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 10 Jun 2025 09:37:47 +0000</pubDate><link>https://www.r2-ds.com</link><dc:creator>rsva</dc:creator><comments>https://news.ycombinator.com/item?id=44234599</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44234599</guid></item><item><title><![CDATA[New comment by rsva in "Show HN:KMDS,Knowledge Management for Data Science"]]></title><description><![CDATA[
<p>This is a video description of the problem it solves:
<a href="https://www.youtube.com/watch?v=2Ekmp8MSyZE" rel="nofollow">https://www.youtube.com/watch?v=2Ekmp8MSyZE</a></p>
]]></description><pubDate>Mon, 25 Mar 2024 10:42:00 +0000</pubDate><link>https://news.ycombinator.com/item?id=39814583</link><dc:creator>rsva</dc:creator><comments>https://news.ycombinator.com/item?id=39814583</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39814583</guid></item><item><title><![CDATA[Show HN:KMDS,Knowledge Management for Data Science]]></title><description><![CDATA[
<p>KMDS is a library for data scientists and data analysts to capture knowledge and facilitate collaboration and reporoduciblity of data science tasks. Recipes for using KMDS with analytics and machine learning tasks are available at: <a href="https://github.com/rajivsam/kmds_recipes">https://github.com/rajivsam/kmds_recipes</a>
Please see the wiki section for documentation.</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=39754655">https://news.ycombinator.com/item?id=39754655</a></p>
<p>Points: 1</p>
<p># Comments: 1</p>
]]></description><pubDate>Tue, 19 Mar 2024 11:22:56 +0000</pubDate><link>https://github.com/rajivsam/KMDS</link><dc:creator>rsva</dc:creator><comments>https://news.ycombinator.com/item?id=39754655</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39754655</guid></item><item><title><![CDATA[Data Science Consulting Services]]></title><description><![CDATA[
<p>Extracting value from your data to make your internet service offering more impactfull need not be the prerogative of companies with deep pockets. Quality open source software for data 
science and cloud technology now make this
 acceesible for companies that have data. If this idea resonates with you, I would appreciate a chat with you to see how I can help you with your data science idea.
https://rajivsam.github.io/r2ds/</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=37866627">https://news.ycombinator.com/item?id=37866627</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 13 Oct 2023 04:20:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=37866627</link><dc:creator>rsva</dc:creator><comments>https://news.ycombinator.com/item?id=37866627</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=37866627</guid></item><item><title><![CDATA[Data Science Services]]></title><description><![CDATA[
<p>I am a seasoned data scientist looking for remote consulting work. The url below provides a gist of the kind of problems that I can help with and an engagement plan. If you are looking for help on data science projects with these problems, I would appreciate your consideration.
https://rajivsam.github.io/r2ds/</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=37746727">https://news.ycombinator.com/item?id=37746727</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 03 Oct 2023 01:19:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=37746727</link><dc:creator>rsva</dc:creator><comments>https://news.ycombinator.com/item?id=37746727</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=37746727</guid></item></channel></rss>