Machine Learning Data Scientist

Ryan Tanksley 817-***-****

Data Scientist *.**********@*****.***

TECHNICAL SKILLS

Programming Languages Environments Other skills

● Python

● MySQL

● R

● C/C++

● Jupyter Notebook

● Visual Studio

● Docker

● AWS

● GIS/ESRI

● Pytorch

● Tensorflow

● Scikit-Learn

● Forecasting

● Object detection

● Data Manipulation

● Data Augmentation

● Pipelining

● Predictive

analytics

EXPERIENCE

Data Annotator, Data Annotations - Image Detection May 2025 - Current (Remote)

● Conducting accurate and consistent data labelling to generate training data for machine learning models.

● Providing constructive feedback for other annotators if the training data doesn’t fit the guidelines.

● Manage a self-directed schedule to meet the deadlines of multiple projects. AI Evaluator, Outlier AI - Natural Language Processing Feb 2024 - Oct 2024 (Remote)

● Verifying the accuracy of various APIs used in Natural language models. (Google Flights API, Google Hotel API, YouTube API, etc…)

● Applying reinforcement learning from previous chat logs to increase the accuracy and truthfulness of the statements provided by the chatbots.

● Provided feedback for prompts on how to add constraints that will increase the disparity between separate models.

Machine Learning Scientist, Halff Associates - AI/Water Infrastructure June 2022 - December 2023 (Fort Worth, TX)

● Worked in a cross-functional team comprised of water resource engineers and software engineers.

● Created a pipeline for training data used in our object detection models, mainly consisting of CCTV video files.

● Implemented land classification and object detection models for water resources teams.

● Developed character recognition models to create databases of old/hard-to-read documents. IT Support Technician, University of North Texas - IT Shared Services February 2020 - November 2020 (Denton, TX

● Assisting UNT faculty with tech issues ranging from problems connecting to the UNT network to resolving issues with CAD modeling software, email clients, and other software used by staff.

● Imaged 100+ desktops/laptops with Windows, and installed requested software for UNT faculty.

● Implementing automation platforms like Jenkins to authorize and transfer faculty email accounts.

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