Charles Konen Email & Phone Number

Aurora, Illinois, United States

• Developed sophisticated forecast models using TensorFlow and Keras, employing both feed-forward neural networks (FNN) and recurrent neural networks (RNN) to enhance the accuracy of purchasing predictions
• Achieved an average net profit prediction accuracy within 5%, significantly outperforming conventional predictive methods
• Created an innovative tool that monitors Excel sheets, allowing team members to enter new data and receive real-time forecasts through an integrated model
• The predictive model facilitated substantial improvements in decision-making efficiency across the company by providing highly accurate and timely predictions

Durham, North Carolina, United States

• Developed a robust pipeline for efficiently extracting and analyzing 1000s of observations from existing single-cell spatial-omics datasets, enhancing data accessibility and usability
• Engineered a custom Python web scraper tailored for Google Scholar and PubMed, combing through over 10,000 publications to precisely extract relevant titles and authors based on user-defined keywords
• Facilitated streamlined academic research by automating the retrieval of relevant literature, significantly reducing the time and effort required for manual searches

Elburn, Illinois, United States

• Led startup operations for Fully Built, a tech-enabled omni-channel logistics business
• Contributed to an annual cost savings of $100,000+ by strategically identifying and executing a reduction in shipping expenses
• Developed an advanced system for real-time tracking and management of inventory and orders data, tailored for businesses using ShipHero
• Implemented Kafka producers and consumers to handle real-time streaming of inventory and order data, ensuring immediate updates and synchronization
• Integrated ShipHero's API to fetch inventory and order data, streaming changes to a MySQL database using Kafka

Durham, North Carolina, United States

• Developing and refining a data-driven model to quantify international power by analyzing various factors including military influence, cultural dynamics, diplomacy, and more, aiming for a comprehensive and accurate.
• Packaging up an existing modified IRT model for R and submitting it to CRAN and writing a piece for JSS
• Extending the model to incorporate continuous input data

Elburn, Illinois, United States

-Designed and executed an efficient selection process to streamline order fulfillment and reduce processing time.-Demonstrated expert prowess in inventory organization, implementing meticulous categorization and tracking systems that minimized stock discrepancies.

Bachelor Of Science - Bs, Statistics, Computer Science

Activities and Societies: Duke Sports Analytics Club, Blue Devil Buddies, Recruitment Chair for Sigma Chi Fraternity, First-Year Library.

Gpa: 4.876, Act: 35

Activities and Societies: Class of 2022 valedictorian, AP Scholar with Distinction, St. Timothy Youth Award, Head of School Leadership.