John Plakon

From Symptom to Root Cause

Designing an incident triage workbench for Kubernetes, Git integrations, SQL validation, and AI-assisted troubleshooting

Posted by John Plakon on January 4, 2026

Attribution and Deep Link Support Lab

A support-focused case study featuring event pipelines, API troubleshooting, SQL investigations, and visual diagnostics for real-world SaaS tracking failures

Posted by John Plakon on April 9, 2025

Unveiling Insights: Unlocking User Experience Data with Mixpanel

Analyzing User Experience and Identifying Pain Points in a Saas Product

Posted by John Plakon on June 1, 2023

Analyzing User Engagement and Recipe Popularity with R

Exploring Disparities in Recipe Views, Platform Preferences, and Popularity Patterns

Posted by John Plakon on January 4, 2023

Analyzing City Bike Ride Data August-September 2019 with Tableau

In this Tableau Public Dashboard, we dive into a comprehensive analysis of bike rides taken during this period, aiming to uncover valuable insights and patterns.

Posted by John Plakon on June 25, 2022

Analyzing Marketing A/B Testing

Unveiling the Impact of Ads Using Python

Posted by John Plakon on March 3, 2021

Analyzing Hotel Reservation Data using SQL

Unveiling Insights with SQL

Posted by John Plakon on December 7, 2020

Predicting Backorders with Machine Learning

Supply chain managers are not fully utilizing big data techniques to manage their chains. What if we could predict stock-outs and maintain a constant replenished inventory at all times?

Posted by John Plakon on February 3, 2020

Predicting flight delays with Machine Learning

The challenge of smoothly managing the disruption of flight delays has longed weighed on airline and airport executives’ minds. How could you stare into a crystal ball and determine which flights would be delayed and by how long?

Posted by John Plakon on November 15, 2019