Evan Border Email & Phone Number

Vienna, Austria

London, England, United Kingdom

Development of innovative machine-learning (e.g. convolutional neural networks) and empirical models to optimize the planning, operation, and performance of transport/logistics systems using the Google Cloud Platform (BigQuery SQL, Colab, Looker) and Python (PyTorch, Pandas, scikit-learn, kepler.gl). Integration/deployment of these models within the expanding FlowOS software suite (Java, Deep Java Library).Development of interactive web-tools to enable FlowOS clients to perform in-depth, KPI-driven analysis of the real-world performance and implementation of transport systems and identify possible areas of improvement (Python, BigQuery SQL, Plotly).Perform comprehensive, big-data analyses of clients' currently-active transport systems to identify pain-points and potential issues, with the goal of achieving optimum real-world performance (Python, BigQuery SQL).

Frankfurt Am Main, Hesse, Germany

Designed and built complex financial simulation/modelling software used to ensure correct pricing of automotive leasing contracts (private and fleet) at a large German (DAX) corporation (Python, VBA, Excel) and assist their transition to new pricing software. Worked with clients to ensure correct pricing across the vast constellation of car-options and types of contracts, with the simulator I had built serving as the ground truth. Developed tools for data-processing and interfacing with internal systems so as to enable automated testing of financial software.

Frankfurt, Hesse, Germany

Assist clients (large German and European Banks or Financial Institutions) to solve wide-ranging quantitative problems such as programming financial models, the implementation of new software and systems, or analyzing software/calculatory issues.

Heidelberg, Baden-Württemberg, Germany

Designed and carried out novel spatial and time-series modelling and analysis of natural geoisotopic systems (using tools such as Python, Pandas, scikit-learn, and Numpy) in order to reconstruct planetary-scale natural processes unable to be observed directly. Construction of geophysical models (Python) to analyse/predict ocean dynamics spanning from the past ice age to the near future.Supervised thesis projects of other students as well as taught practical physics courses.Participated in and helped plan weeks-long research cruises in the Atlantic Ocean, Amazon Estuary, and Mediterranean Sea to collect water samples for both my own research as well as for other projects.

Heidelberg, Baden-Württemberg, Germany

Laboratory assistant responsible for preparing ultra-sensitive samples for neodymium isotopic analysis (ICP-MS) in a clean-lab environment.

Toronto, Ontario, Canada

Traditional neapolitan-style pizzaiolo (pizza chef). Hand-tossed dough cooked in a very high-temperature traditional wood-fired stone oven.

Doctor Of Philosophy - Phd, Physics, 1.0 (Magna Cum Laude)

Developed and analysed models (Python, Pandas, scikit-learn) of natural uranium isotopes within the oceanic system in order to study.

Master Of Science - Ms, Physics, 1.5 ("Very Good")

Developed and analysed oceanic models (Python, Pandas) based on natural oceanic isotopes found within the skeletons of various various.

Bachelor Of Science - Bs, Physics, 3.47 (Us Gpa System)

Developed, tested, and ran path-integral quantum Monte Carlo models for studying the transition of helium-4 atoms into the superfluidic.

Advanced Regents Diploma