Tom Wade
Bridging the gap between the digital and physical world through data-driven insights and innovative solutions.
I am
Areas of Interest
Some of the tools and tech I love.
Internet of Things
Integrated wireless sensor data from IoT devices into data pipelines for real-time monitoring and analysis.
Applied predictive models to time series data for anomaly detection and forecasting in structural health monitoring applications.
Harness big data for process optimization and inventory management in manufacturing environments.
Machine Learning
Manufacturing Engineering
Database Administration
Cloud Computing
Data Analytics
Manage MySQL and PostgreSQL databases, optimizing queries and ensuring data integrity for structural health monitoring systems.
Leverage cloud services to store, process, and analyze large datasets securely and efficiently in scalable environments.
I analyze large datasets to provide actionable insights, optimizing system performance and enhancing decision-making processes.
My Latest Projects
Some of the things I have built with data tools and technologies.
Using built-in scheduling of Apache AirFlow with the extensible document database storage of MongoDB to generate and email automated reports of sensor data.
An overview of how I made a scalable alert messaging service for sending consistent sub-minute email and SMS notifications for outlier sensor data.
A tutorial for how to "dockerize" infrastructure for a self-hosted solution for remote structural health monitoring with a built-in TCP socket application and MySQL database.
Testing a LSTM encoder-decoder model for reliable short-term time series forecasting and anomaly detection.
Showing how to give any MySQL database a secure logical backup with additional read-replicas for read-heavy applications.
Making structural health monitoring more accessible and cross-platform with a user-friendly interface to perform statistical analysis and alert management for wireless IoT sensors.
What I’m Working On
I've been a Junior Database Administrator/Developer for the last 3 years, specializing in remote wireless sensors for structural health monitoring applications. My experience includes managing relational databases, designing data acquisition and retrieval architectures, and developing data visualization tools. I am passionate about leveraging cloud technologies to contribute to forward-looking, data-driven initiatives.
Experience
Junior Database Administrator/Developer
Resensys LLC
2021 — Present
Optimize and manage MySQL database systems on-premises and AWS RDS.
Designed database monitoring systems, significantly reducing query times by 30% through SQL query and index optimization.
Build ETL pipelines using Python, Bash, and SQL, processing and integrating vast sensor datasets into actionable insights and dashboards, enhancing data-driven decision-making for over 200 active structural health monitoring projects.
Architected real-time sensor alerting system reducing notification lag by 200% for active users.
Launched a web interface for real-time sensor data exploration and alert management.
Here I am at a bridge in Florida installing an advanced structural health monitoring system for real-time data collection.
Get in Touch
I would love to hear from you! Please fill out the form below or connect with me on LinkedIn and GitHub.
Contact
+12155019211
Connect
wadesthomas1@gmail.com