Max T. Email & Phone Number

Nashville, Tn, Us

Franklin, Tennessee, United States

I worked as the Managing Director for Encounters Network. I managed a team of five staff members and oversaw the IT, marketing, and overall operations of the organization.Tools: Mailchimp, Canva, Adobe Premiere Pro, Squarespace, Woocommerce, Shopify, Teachable, Amazon S3, Wordpress, Hootsuite, YouTube Studio- Staff and Vendor Management: I managed a team of five staff members and oversaw multiple contractor and vendor relationships. I set strategic vision in collaboration with the Founder and Board of Directors, driving initiatives across operations, marketing, and IT. I led weekly core-team meetings, monthly all-staff meetings, and one-on-one staff check-ins. - IT Optimization: I conducted a cost-benefit analysis of our software tools and implemented more efficient systems. This included migrating the website, online store, and class hosting to more cost-effective platforms, improving operational ease, cost, and security. These upgrades lowered our yearly IT costs, while delivering higher quality services to our staff and customers.- Marketing Analysis: I managed and analyzed the performance of email, fundraising, and social media campaigns, crafting content to increase product sales and engagement across our email (60,000+ subscribers), Facebook (250,000+ followers), Instagram (90,000+ followers), and YouTube (30,000+ subscribers) audiences. - Podcast Promotion: Our podcast has over a million cumulative listens. I led our promotional strategy for Season 6, achieving a 23% increase in total views compared to Season 5.

Franklin, Tennessee, United States

Meitzler Building Group contracted me to design and develop a device that uploads sensor data real-time to the cloud, processes and visualizes it, then sends text alerts when certain thresholds are crossed.Tools: Arduino IDE, C++, Python, Google Cloud, Twilio- Electrical Component Evaluation: I performed extensive cost-benefit analysis of various sensor technologies, weighing their data resolution and accuracy against cost to select the most suitable option for commercialization.- Back-End Development: I used C++ to handle the device’s back-end operations, programming all the logic for real-time data collection and processing.- Data Ingestion and Processing: I built custom ETL pipelines using Python to ingest, clean, and process the sensor data through Google Cloud. I then integrated Twilio for automated text alerts.- Testing and Validation: I conducted benchmark testing to validate the accuracy and reliability of the sensor data, comparing it against external analog systems.- End-to-End Project Ownership: I led the project independently from research and development to prototyping, ensuring all deliverables met the founder's vision for the product.

Nashville, Tennessee, United States

I worked as a Research Analyst and Ghostwriter for author and speaker Dr. Michael Guillen. Tools: Google Suite, Grammarly, Online Research Libraries- Scientific Research: I conducted in-depth research on scientific topics ranging from quantum computing, oceanography, and applied physics to biology, cosmology, and robotics, creating engaging, scientifically accurate content for Dr. Guillen’s latest book and podcast.- Podcast Scripts: I created research outlines and drafted podcast scripts for Dr. Guillen’s podcast Science + God. His podcast has over a million cumulative listens.

Nashville Metropolitan Area

I worked as a high school STEM Teacher for Templeton Academy. I developed and taught custom curriculums for a data science and graphic design course. Tools: Python, Google Colab, Kaggle, Adobe Photoshop, Adobe Illustrator - Data Science: I developed and instructed Intro to Computer Science, Data Science. Students learned Python, data structures, data visualization, and natural language processing, culminating in a final project analyzing data from Kaggle.- Graphic Design: I developed and taught Digital Art & Graphic Design. This course focused on designing marketing materials, photoshopping images, and creating graphics in Adobe Photoshop and Illustrator.

Nashville, Tennessee, United States

I worked as a Senior Data Scientist for Bridgestone's Fleet Management Solutions (FMS) Team. We developed, tested, and launched fleet management technology in the trucking, mining, and bus markets. Tools: Python, R, SQL, PowerBI, Databricks, Azure, Tableau, Excel, Powerpoint, Microsoft Teams- Real-time Analytics: I led the development, testing, and launch of real-time analytics for the IntelliTire system, providing actionable insights for commercial trucking, mining, and busing industries. I worked closely with engineers and industry experts to tailor analytics, algorithms, and reporting to their operational needs.- Event Detection Patent: I invented mathematical methods to detect slow leak events in commercial tires and intelligently interpolate incomplete or missing data. My research was patented by Bridgestone Americas (International Publication Number: WO 2022/155009 A1).- Data Mining Research: I managed ad-hoc data mining projects, performing sensor data experiments to uncover actionable insights, which informed future product development and feature enhancements.- PowerBI Dashboards: I developed and maintained PowerBI dashboards used by our team to monitor test launches, sensor statuses, and algorithmic performance, providing real-time visibility into critical metrics.- Global Collaboration: I collaborated with global business and analytics experts, serving as the America’s Regional Leader for Data Models within Bridgestone’s Global Solutions Steering Committee, steering the strategic direction of IntelliTire’s analytics initiatives.- Research Management: I directed collaborations with startups and vendors, aligning external research efforts with Bridgestone's business priorities, ensuring alignment between research and commercial outcomes.

Nashville, Tennessee, United States

I worked as a Data Scientist for Bridgestone’s Commercial Emerging Technologies (CET) Team. Our group researched innovative tire-related technologies in the commercial trucking sector. Tools: Python, R, Tableau, Excel- Machine Learning Research: I led machine learning research in automated commercial tire side-wall data extraction and tread loss prediction. - Statistical Research: I developed ad-hoc statistical research for engineers and CET directors, helping them understand the limitations and possibilities of various emerging technologies. - Analytics Roadmap: I worked with the CET’s Director of Technology to develop and execute our technology and analytics roadmap.

Nashville, Tennessee, United States

I worked as an Adjunct Professor for Belmont University’s Department of Mathematics and Computer Science. I taught morning or evening courses in addition to my full-time job at Bridgestone Americas.Tools: Java, Class Management Software- Computer Science: I taught Inquiry Through Computer Science, an undergraduate course focused on developing Java applications. - Mathematics: I taught Quantitative Literacy & Reasoning, an undergraduate course focused on practical applications of mathematical modeling and thinking.

Nashville, Tennessee, United States

The Continuous Improvement (CI) group at the Nashville International Airport contracted me as a Data Scientist to automate the cleaning of messy data, detect anomalies, and create an online Shiny dashboard in R.Tools: R, Shiny, Excel- Software Development: I developed a Shiny dashboard that enabled members of the CI team to explore their data in real-time, providing extensive data visualization options, data summaries, and threshold customization.- Anomaly Detection: I implemented time series anomaly detection within the Shiny dashboard, allowing both operational staff and leaders to investigate abnormal patterns, enhancing their financial and operational strategies.- Data Cleaning & Reporting: I created a program the CI team could use to clean their data and automate the creation of an important monthly report.

Los Alamos, New Mexico

I was one of twelve graduate students in the United States accepted into Los Alamos National Laboratories' first ever Applied Machine Learning Research Internship. I worked with senior space and earth scientists researching deep learning applications for semi-supervised anomaly detection.Tools: Python, Keras, Spark- Deep Learning Research: I conducted deep learning research focused on anomaly detection within seismic signals. We designed our model to detect low-signal earthquakes amidst noisy sensor environments. Our research resulted in an anomaly detection accuracy rate of 85% on test data sets.- Signal Processing: I gained hands-on experience in signal processing methodologies, using Python, Spark, and Keras on the laboratory’s supercomputing infrastructure.

Nashville, Tennessee, United States

I worked as a Data Scientist in an internship overseen by Nashville’s Chief Data Officer, Dr. Robyn Mace.Tools: Python, Tableau, PowerBI, Excel- Data Visualization: I developed comprehensive data visualizations using Tableau and PowerBI, presenting these dashboards to ITS department heads.- Statistical Analysis: I conducted in-depth statistical analysis on short-term rental properties using data from the Codes Department, presenting my findings to the executive leaders. - Computer Vision Research: I completed computer vision research on videos of Nashville’s interstate traffic demonstrating real-time traffic flow analysis potential, which prompted further exploration by city leadership.

Brentwood, Tn

I worked as a Mathematics and ACT Tutor at Prep Source.Tools: Google Suite- Customized Tutoring Programs: I developed customized ACT tutoring programs based on initial assessments to identify student weaknesses and create tailored learning paths. I regularly conducted benchmark testing to track student progress, with most students working for 2-3 months to reach target scores, often increasing scores by 2-4 points.- Training Tutors: I trained new tutors on individualized tutoring methods, benchmarking, and strategies for improving student performance in ACT sections, leading to improved student outcomes.