Find me at: dalinstone.com and at dalinstone@linkedin
- Medsistra.com - A web app for BYU-I students to perform charting when they are at clinicals
- How do we get Linux on Apple silicon M4 so that I never have to buy another laptop again?
- Tinkering with C++, C, and Go
- Parsing docker.service logs on Linux
Read this for the long-form of what I've done professionally
- TypeScript modification to Docker Desktop UI
- Regression model for scoring customer health
- Automated customer metrics tracking
- Chrome extension for displaying information on an as needed basis
- @Abnormal Security: Created KPI and SLA metrics dashboards in DataBricks using SQL for my team of 30 analysts as an after hours project to support my team
- @Abnormal Security: Created a Google App using GCP to track my teams working hours. After not receiving approval to implement the app on my team (for budget reasons), I wrote a JavaScript script using the Google Sheets and Forms API to automate emailing a form to each analyst on the team. This required a lot of reminding and didn't erase the problem. Finally, I created a Slack Integration that would ping each person 15 minutes before their shift ended and send them the form to fill out. These numbers were used by the Data team to project hiring numbers. (I asked my manager what I could take off her plate and she wanted a better way to track working hours. These are the ideas I brainstormed.)
- @Abnormal Security: Led a project that allowed 3 groups of analysts (about 4 people each) to use their coding talents to create other dashboards in DataBricks for Weekend and Daily KPI-SLA metrics
- @Abnormal Security: Created a previously non-existent Quality Assurance program for a team of 30 analysts. This program revealed that if a cybersecurity analyst could slow down their remediation time, increase the time spent reading documentation, and ask questions whenever possible, the analyst could increase their accuracy of remediation by ~8%. This program was implemented on the team to increase low-performing analyst KPI/SLA metrics to an OKR target of 8% higher.
- @Goldman Sachs: Led the effort on my team to pull data using Oracle SQL (Aqua Data Studio) and SQL/T-SQL (DataBricks and Snowflake) to identify consumer financial crime and fraud in a targeted forensic investigation.
- @Goldman Sachs: Assisted in identifying Crypto related financial crime and fraud through a targeted investigation of thousands of Crypto related transactions.
- @Saela: Created Python scripts in Prefect using NumPy and Pandas to pull data from an internal web/mobile app MySQL database, transform the data, and then write the data to a data team facing MySQL data warehouse for downstream consumption by C-Suite, Manager, and Supervisor level users through Tableau Dashboards
- @Saela: Developed a toolkit for my team, replacing MySQL database driver read-and-write functionality, resulting in 95% faster read/write ETL runtimes
- @Saela: Used the Tableau Hyper API and pantab (a package for Pandas dataframe interactivity with Tableau hyper files) to create a tool for my team to create Tableau hyper files from Pandas dataframes and publish those files as datasources to Tableau Server
- @Saela: Coded a Dask tool for performing multi-processing, concurrency, and lazy calculations on data where needed
- @Saela: Migrated new ETL production data into Tableau Dashboards as Tableau Datasources
- @Saela: Fielded and Remediated JIRA tickets for Tableau Server Administration support across the company
- @Saela: Created Docker infra to use containers to run our Prefect ETL pipeline on an AWS EC2 instance
- @Saela: Sped up the ETL pipeline by adding list comprehension, NumPy calculations, and data type down casting where necessary
- @Docker: $2M+ in pipeline generated since April '23
- @Docker: $1.2M in closed won pipeline since April '23
- @Docker: #1 BDR Q2, Q3, Q4 '23 & BDR of the YEAR '23
- @Docker: Led an org wide sales training on outbound prospecting
- @Docker: Made a Chrome Extension for self serving blurbs, rebuttals, questions, and product knowledge using 2-3 button clicks
- @Docker: Created a central repository (a google sheet) that combined all of the relevant customer data from looker and salesforce into a single pane of glass view for consumption, analysis, and QBRs. This was automated.
- @Docker: Did a regression test on the key features of a business subscription and associated usage metrics to score customer health and facilitate triaging of customer succcess meetings
- @Docker: Got access to our staging environemnt, bought a domain, got a free trial for Okta and Azure and then setup a business level account as though I was a customer
- @Docker: Led a training for my team on how to do the same
- @Docker: Added a UI addition for our live webinars into the Docker Desktop UI by modifying some TypeScript (never pushed to prod)
- Datastructures
- Algorithms
- Discrete Math
- Game Theory
My blog dalinstone.com has some writing samples along with an overview of who Dalin Stone is as a person, father, and engineer.