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Work Background
LeadVenture™Data Engineer
Jun. 2024
England LogisticsData Scientist I
Mar. 2024 - Jun. 2024Spearheaded the automation of credit report processing by developing a Python script to parse and convert data from 200,000+ PDFs into a structured tabular format, reducing operational costs and time by over 50%. Innovated a predictive model to tackle a $100,000/month bad debt issue by using GANs for data balancing and training an XGBoost model and an artificial neural network using CUDA and PyTorch, which is projected to halve the bad debt losses by improving the accuracy of potential bad debt identification. Actively participated in an Agile SCRUM team, contributing to CI/CD processes.
Generative ImpactMachine Learning Researcher
Oct. 2023 - Mar. 2024Salt Lake City, Utah, United StatesDeveloped an XGBoost using TensorFlow model to predict A1C levels with data on lifestyle, demographic, and other features that were synthesized using Generative Adversarial Networks (GANs). This model aimed to enhance personalized diabetes management. Innovated in healthcare analytics by using GANs to generate synthetic patient data, significantly improving the accuracy of A1C predictions in diabetic patients through a comprehensive analysis of diverse factors. Developed a predictive model in education to enhance the forecasting of student performance metrics, like reading scores, facilitating timely interventions for students in need and improving educational outcomes.
Eisengard AIData Scientist
Jan. 2022 - Oct. 2023San Francisco, California, United StatesEngineered predictive time-series models such as ARIMA and Prophet into a sales recommendation engine that boosted client revenue by $2M. The engine utilized features such as cohort analysis, Customer Acquisition Cost (CAC), Customer Lifetime Value (CLV), and other retention metrics from databases in Snowflake. Deployed the engine into an interactive map interface, enhancing usability and providing actionable insights directly to sales teams. Developed a regression model using tools like Python, R, and SQL to analyze and detect patterns in sales practices by examining the trends and correlations between sales call volume, foot traffic, and sales volume across geographical areas. Visualized these insights on a map to help the client identify and rank new sales opportunities. Communicated with clients, including upper management and entry-level sales reps, to understand their needs, success criteria, and business practices. Provided tailored solutions that met business objectives and improved overall client satisfaction.
Baileys Moving and StorageAppliance Installer
Jun. 2020 - Jan. 2022Salt Lake City, Utah, United StatesLed the logistics and installation of appliances in new and existing homes, apartment buildings, and established firms, demonstrating strong project management and operational skills. Innovatively identified and capitalized on a financial opportunity, securing a contract that led to a 50% share in product delivery. Significantly boosted company revenue through strategic business development and partnerships.
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