Margie Henry 1/13/25 Margie Henry 1/13/25

Flashback: Optimizing the Textio Indexing Service: A Data-Driven Approach to Improving User Engagement

Learn how I optimized Textio's Indexing Service (TIS) to improve user engagement and search performance. Discover how I used fuzzy matching algorithms, caching techniques, and data-driven insights to enhance search functionality, reduce latency, and drive a 45% increase in report downloads. Dive into the technical details of how I improved data recency, competitor identification, and real-time search suggestions for a better user experience.

Margie Henry 1/9/25 Margie Henry 1/9/25

Designing a High-Fidelity Prototype with Figma and Midjourney

Margie Henry 7/19/24 Margie Henry 7/19/24

Go To Market Planning: Feature Re-launch

Discover the comprehensive Go-to-Market strategy for relaunching GreatNonprofits' crowdfunding feature. Learn how a well-executed plan can drive donations, enhance user engagement, and support nonprofit growth.

Margie Henry 7/12/24 Margie Henry 7/12/24

Scaling Appends, Updates, Deletes, and Compliant Purging for GDPR Compliance

Discover how we improved the performance and scalability of our machine learning data platform, enabling efficient management of large datasets with advanced data governance features. Learn about our approach to handling high volumes of read and write operations and ensuring compliant data purging.

Margie Henry 7/8/24 Margie Henry 7/8/24

Simplifying Rapid Prototyping with Streamlit

Streamlit is a great tool for rapid prototyping. Check out this mini project were I created a mini app that automated the creation of image captions to support website accessibility goals.

Margie Henry 5/6/24 Margie Henry 5/6/24

Rapid Prototyping with GenAI: Accelerating Product Development

Minimal app development in under an hour.

Margie Henry 4/11/24 Margie Henry 4/11/24

Data Monetization in Practice: A Nonprofit Guide

Discover how nonprofits and small businesses can monetize their data, diversify revenue streams, and enhance strategic decision-making through internal and external data monetization strategies.

Margie Henry 1/12/24 Margie Henry 1/12/24

Build versus Buy - SPAM Filtering Solution

In this case study I cover how I helped tackle the pervasive issue of spam reviews by implementing a robust third-party spam filtering solution. This case study highlights the decision-making process, actions taken, and key outcomes that restored user trust and platform integrity.

Margie Henry 10/25/23 Margie Henry 10/25/23

Enhancing Platform Performance by Reducing Response Times and Latency

Discover how we tackled high response times and latency issues on the GNP platform, significantly improving user experience and engagement. This case study walks through the strategies we implemented to achieve faster and smoother performance.

Margie Henry 10/16/23 Margie Henry 10/16/23

Saying No

Discover how a strategic feasibility study and comprehensive risk assessment led to a pivotal decision at a Yelp-like nonprofit, steering the organization away from a potentially resource-draining gift card system. Learn the steps taken and lessons learned that can guide your own product management decisions.

Margie Henry 9/15/23 Margie Henry 9/15/23

Using Keras and Python to Identify Toxic Language

Toxic language, which includes harmful or abusive content, can not only tarnish a platform's reputation but also cause real harm to individuals and communities. To tackle this issue effectively, machine learning models powered by frameworks like Keras and TensorFlow have become indispensable.

Margie Henry 11/16/22 Margie Henry 11/16/22

Automating Data Cleaning for Nonprofits: A Python Journey

At the heart of many nonprofit organizations lies a wealth of data that, when managed effectively, can drive impactful decisions. However, managing this data often requires robust cleaning and validation processes to ensure its accuracy and reliability. In this blog post, I explore how Python and pandas can automate these tasks, making data management more efficient and error-free.

Margie Henry 8/11/22 Margie Henry 8/11/22

Improving Data Discover through User Research

Using affinity mapping to uncover user pain points for product adoption.

Margie Henry 2/8/22 Margie Henry 2/8/22

Continuous Discovery - Staying Aligned with User Needs

Learn how I implemented a continuous discovery program to stay aligned with user needs and the evolving machine learning landscape. This case study outlines the strategies used to gather insights, prioritize features, and maintain a competitive edge for a data platform for machine learning .

Margie Henry 3/1/21 Margie Henry 3/1/21

Data Platform for ML Legal Review Pipeline Integration and Automation

At Apple, the manual legal review process for third-party datasets was a significant bottleneck, causing delays and frustration among research teams. Tasked with addressing this challenge, I led the initiative to streamline and automate the dataset review process. By integrating an automated review system within our existing data platform, we reduced the legal team's workload, enhanced transparency, and improved efficiency for research teams. This case study highlights the steps taken, including stakeholder engagement, system design, pilot testing, and continuous improvement, resulting in a standardized and efficient legal review process that increased adoption and satisfaction across teams.

Margie Henry 2/3/21 Margie Henry 2/3/21

Enhancing Compliance through Data Governance

At Apple, there was a growing need to enhance data compliance and governance practices across our Machine Learning data platform. The platform was expanding rapidly, serving multiple teams and handling diverse datasets, including sensitive information subject to global regulations like GDPR and CCPA.

Margie Henry 11/13/20 Margie Henry 11/13/20

Scaling Data Ingestion with Spark

Explore how we successfully scaled our data ingestion pipeline to meet the demands of an anomaly detection team using Apache Spark. This case study demonstrates the steps taken to ensure high performance, reliability, and scalability.

Margie Henry 3/3/20 Margie Henry 3/3/20

Automating Data Cleaning and Processing for Ingestion

As a Customer Success Engineer, my task was to create a robust data cleaning and processing pipeline using Python, designed to operate seamlessly in both Jupyter Notebooks and as a background microservice. This initiative came at a pivotal time as our team transitioned focus from technical operations to sales and account management.

Problem Solved.