Ryan D Email & Phone Number

Remote

Tool for fitness coaches to quickly build, adapt, and deliver highly personalized resistance training workout programs. Message me for a trial!* Some 1:1 coaching spots available: I help motivated STEM professionals transform their bodies.

New York City Metropolitan Area

Mathematical optimization, machine learning, simulation, algorithms driving decision making for facilities and space planning, culinary, transportation.

Acquired paying users through in-gym networking and social media marketing.

Remote

Discrete-event simulation (Anylogic/Java, Simio)Delayed start due to COVID.Designed and executed predictive and prescriptive simulation modeling studies in a wide range of domains, including airport terminal traffic, mining, port, iron and steel-making, cobalt purification processes.

Started a consulting business specialized in offering a discrete event simulation and optimization skillset. Engaged in client discovery calls for various potential projects.Completed a few Master of Engineering courses remotely.COVID quarantine.

Toronto, Canada Area

• Built an internal TensorFlow dataset generation framework that allows data scientists/ researchers to shop for machine learning features, and easily implement new features to be included in the feature store, based on.
• Developed production-ready machine learning systems for health insurance predictions such as fraud detection and risk prediction, which involved implementing custom loss functions and multi-task learning. (TensorFlow)
• Architected and populated PostgreSQL database schemas for access of medical data and taxonomies.

University Of Toronto

• Independently completed a research project to demonstrate a 28% decrease in total operating cost when accounting for stochasticity in surgical durations during optimization of distributed operating room scheduling.
• Tools used: discrete event simulation (Simul8), integer programming solver (CPLEX).

Kitchener, Ontario, Canada (Hybrid)

• Built discrete event simulation models of OTTO self-driving vehicle (SDV) materials transport solutions (Simio) to gain data-driven insights on the performance of logistics facilities and make process improvements.
• Developed a novel internal tool used to rapidly generate simulation models, which expedited the sales engineering pipeline. This tool replaced a long-standing Excel model for determining robot fleet requirements.
• Conducted simulation studies involving statistical analyses (i.e. two-sample hypothesis testing) on simulation data (Python, R) to aid real-world SDV hardware/software design decisions and to validate models.
• Regularly presented simulation results to a range of stakeholders: customers, engineering managers, executives.

University Of Toronto Institute Of Biomaterials And Biomedical Engineering

• Developed a closed-loop control system simulation model of therapeutic saphenous neural stimulation on the urinary tract in Simulink.
• Performed verification and validation of the simulation model using statistical hypothesis tests and data collected in-vivo from live rat experiments
• Prepared presentations for judges and audience members at various research symposiums in August 2016.

• Teaching paddling ergometer technique and leading small group workouts (2014-2016)
• Teaching weightlifting exercises and leading small group workouts at gym (2014-2016)
• 2nd place Open Men's 200m at the 2016 Canada National Dragonboat Championships (as a university team)
• U24 and University Club Champions at the Canada National Dragonboat Championships in 2015 and 2016
• 2016 University Cup Champions at the Toronto International Dragonboat Racing Festival (TIDBRF)
• Rookie of the Year in 2015

• Instructed aquatics programs such as swimming classes, lifesaving courses, and aqua fitness classes to a diverse community of patrons, including those with special needs (i.e. autism spectrum disorder)
• Lifeguarded pool facility and built positive community relations during program hours
• Carried out pool chemical tests in order to ensure well-being of swimmers and safety of thepool

Master Of Engineering, Operations Research

Highlights: Linear Programming (Graduate-Level), Integer Programming (Graduate-Level), Stochastic Simulation, Scheduling, Big Data (Spark.

Bachelor Of Applied Science (B.A.Sc.), Engineering Science

Activities and Societies: Skule Stage Band, Hart House Jazz Band, Skule Orchestra, Iron Dragons: University of Toronto Engineering.

Welding, Certificate

Education record

Activities and Societies: Jazz Band, Wind Ensemble

Education record

Activities and Societies: Cross Country, Track and Field, Rugby Sevens

Level 10 Piano And Theory, Harmony 1-2, History 1-2, Counterpoint