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        <title>Hasha Data Science</title>
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        <description>Data Science consulting: strategy, team-building, due-dilligence, and more</description>
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    <title>Case Study: Using AI as a research assistant to develop Milton&#39;s Climate Action Plan</title>
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    <pubDate>Sat, 13 Jul 2024 20:36:51 -0400</pubDate>
    <author>Alex Hasha</author>
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    <description><![CDATA[My AI research assistant read hundreds of pages of climate action plans to help my team brainstorm Milton's Climate Action Plan.  Here's how I did it.]]></description>
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    <title>New Series on Model Development Automation at Mission Lane</title>
    <link>/automate-model-development-series/</link>
    <pubDate>Tue, 20 Feb 2024 11:14:55 -0500</pubDate>
    <author>Alex Hasha</author>
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    <description><![CDATA[If you work on operational tools and products powered by AI/ML, you may find that deployment in production is highly automated, while the model development process is still frustratingly manual and dominated by prototyping tools like Jupyter notebooks. Automating model development as well doesn&rsquo;t just help Data Science teams get results more quickly, but also makes those results better and more trustworthy. Over the last year, I&rsquo;ve been working with Mission Lane&rsquo;s incredibly talented Data Science team to put this principle into practice.]]></description>
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    <title>Harnessing the best software tools for reproducible analysis</title>
    <link>/reproducible_data_science/</link>
    <pubDate>Sun, 16 Jul 2023 13:45:24 -0400</pubDate>
    <author>Alex Hasha</author>
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    <description><![CDATA[Among those who create and use data analyses, it is commonly understood that a trustworthy analysis must be reproducible. In other words, given the same problem statement, an independent analyst should be able to gather their own data and analyze it to reach the same conclusions. If this isn’t true, it raises strong suspicions about the accuracy of the original analysis.
In practice, there are rarely sufficient resources available to fully replicate an analysis from scratch, except for the most controversial, significant, or risky decisions.]]></description>
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    <title>Jevons Paradox, bike-shedding, and 3 reasons why Generative AI mostly terrifies me</title>
    <link>/jevons_paradox/</link>
    <pubDate>Sun, 02 Jun 2024 13:50:41 -0400</pubDate>
    <author>Alex Hasha</author>
    <guid>/jevons_paradox/</guid>
    <description><![CDATA[<div class="featured-image">
                <img src="/images/ahasha_A_realistic_dystopian_scene_of_a_humanoid_robot_building_2acb1d5c-d69b-4f20-bfe6-18eb6469346c.png" referrerpolicy="no-referrer">
            </div>This may be the understatement of the year, but Generative AI is having a moment. Even as a long-time practitioner in Machine Learning, I was amazed how suddenly AI passed the Turing test and how rapidly it has advanced since hitting the mass market. Like many professionals, I&rsquo;ve tried hard to incorporate it in my day-to-day workflows both because it obviously has immense promise, but also because I&rsquo;m afraid of being left behind if I ignore it.]]></description>
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    <title>Operationalizing Analytical Integrity</title>
    <link>/analytical_integrity/</link>
    <pubDate>Sat, 28 Jan 2023 16:26:01 -0500</pubDate>
    <author>Alex Hasha</author>
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    <description><![CDATA[If you&rsquo;re in the data business, analytical integrity is critical Selling data and analytics is a bit like practicing medicine. Your product is complex and error-prone, and if it’s not delivered with quality and accuracy you can do more harm than good. But your customer, while desperate to get a quality product from you, is in no position to judge the quality of your work directly. So instead they judge you on shallow proxies that are easier to see: how fast they can get an appointment, how professional your office decor looks, your bedside manner, etc.]]></description>
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    <title>Example Project: Milton, MA Community Maps</title>
    <link>/milton-maps/</link>
    <pubDate>Sat, 18 Feb 2023 07:20:32 -0500</pubDate>
    <author>Alex Hasha</author>
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    <description><![CDATA[I recently did an exploratory analysis combining several publicly available geospatial datasets about the town of Milton, MA (where I live!) and surrounding communities. I had a few goals in putting this together:
 Provide an example of a Python project structure that is portable, transparent and reproducibile using modern tools for data versioning, document generation, and python environment management. Namely, dvc for data version control and DAGs, sphinx for document generation, and conda for environment management.]]></description>
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    <title>What&#39;s a DAG and why do Data Scientists need them?</title>
    <link>/dags/</link>
    <pubDate>Tue, 07 Feb 2023 08:18:03 -0500</pubDate>
    <author>Alex Hasha</author>
    <guid>/dags/</guid>
    <description><![CDATA[One of the themes that has motivated my career is helping Data Scientists be more productive by adopting best practices from software engineering. Data Scientists are often professional-quality data analysts with self-taught programming skills. They&rsquo;re smart enough to create a lot of complexity without always having the training to manage it efficiently. &ldquo;DAGs&rdquo; are a key tool that should be in every Data Science Team&rsquo;s toolbox.
My cautionary tale Not in the mood for a motivating personal story?]]></description>
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    <title>Fossil Fuel Divestment</title>
    <link>/fossil-fuel-divestment/</link>
    <pubDate>Wed, 01 Feb 2023 08:39:23 -0500</pubDate>
    <author>Alex Hasha</author>
    <guid>/fossil-fuel-divestment/</guid>
    <description><![CDATA[Does it really make sense to divest from Fossil Fuel companies? The NY Times recently ran an article about the growing role of mothers in the climate movement, &ldquo;A growing force in the climate movement: Moms&rdquo;. It’s great that mothers are standing up to advocate for the planet and their children&rsquo;s futures. However, one of the protests described in the article struck me as an example of how a “common sense” approach to climate activism can do more harm than good.]]></description>
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