Tori Fredell Email & Phone Number

Washington, Dc, Us

Austin, Texas, United States

Hitch Partners is a retained executive search firm that specializes in all things Information Security, with additional expertise in Business Technology, Cloud Infrastructure Engineering, and Product Management.• Enhanced candidate selection and ranking processes with machine learning by developing automated pipelines to rate candidates in various cybersecurity domains• Utilized Python, Pandas, scikit-learn, and Torch for data preprocessing,including extensive data cleaning, transformation, encoding, featureextraction, and model training to prepare candidate data for ML models• Explored and refined multiple model iterations, including BERT, TF-IDF,RandomForest, and Neural Networks, to optimize performance across key metrics for each rating• Independently developed and deployed a full-stack web application to host machine learning models and automate candidate evaluations and rankings using Python (Flask), HTML, and JavaScript• Built and maintained a PostgreSQL database to store candidate data

Stockholm, Stockholm County, Sweden

Avaus is a transformation partner for international businesses like Pirelli and McDonald’s, leveraging AI and advanced analytics to transform data into actionable insights that accelerate growth and profitability.• Led the development of four personalized GPT models using scraped publicdata from client companies, successfully transforming them into revenue-generating proof-of-concepts• Developed customized AI applications using Python for diverse use cases,including incorporating GeoPandas for geospatial analysis and integratingBERT with GPT models for advanced sentiment analysis and NLP tasks• Researched and evaluated emerging AI technologies for scalability andefficiency to guide the consultancy's technology development direction• Showcased the tangible benefits of these models through presentations tolarge, international clients, demonstrating how Al can revolutionize their customer service operations

Charlottesville, Virginia, United States

Worked in the Kundu Noninvasive Cardiovascular Imaging Research Lab focused on applying machine learning to rodent dynamic PET scans• Created image derived input functions from imaged left inferior vena cava with Slicer and MATLAB to avoid invasive arterial blood sampling of rodents• Utilized and improved upon a Long-Short-Term-Memory (LSTM) cell network to train and predict model corrected input functions (MCIF) and downstream cerebral rates of FDG uptake, Ki, for test data using image derived input functions

Datasite is the leading global SaaS provider specializing in M&A and high-value transactions, delivering top-tier solutions for every stage of the deal lifecycle, including sell-side, buy-side, fundraising, and restructuring.• Used Pandas and Python to train a multi-label, multi-class deep learningmodel to label documents with a 99% accuracy rate in 40+ languages,enabling a new international product offering• Conducted in-depth research on NLP multi-lingual transformer models andeducated the team on applications to the M&A domain

Bachelor Of Science - Bs, Biomedical/Medical Engineering

Activities and Societies: Delta Delta Delta Sorority Risk Management and Wellness Committee Chair; ULink Student Advisor - Graduated Magna.

High School Diploma

Activities and Societies: Senior Class President