Philip Kreckel

- Leads a team of 4 employees, provides guidance to 2 contributing peers, and serves as the product owner for a model development scrum team with a focus on employee engagement - Continuously improves and maintains deposit fraud model execution, monitoring, and performance ensuring seamless communication with downstream partners, an effort which saves tens of millions of dollars annually - Interacts with internal and external audit in a heavily regulated environment

- Led the deposit fraud model initiative to maturity, guiding the team and model through the entire lifecycle process in an environment with an increasing fraud attack rate - Effectively utilized understanding of big data systems, machine learning, and business requirements to communicate and collaborate with developers

- Solved technical implementation challenges for the development of the bank’s first big data machine learning initiative with the deposit fraud model and assumed full responsibility for the model pipeline, showcasing exceptional ownership and accountability

- Established robust software development procedures, documenting client features, standardizing app reporting analytics and ensuring parity between mobile platforms - Joined as the first non-developer hire in a startup company, demonstrating a proactive and pioneering approach, promoting an empowering work culture through a positive attitude, trust, and respect - Contributed to the creation of the big data pipeline and built custom queries for clients requiring mobile app performance analysis

- Utilized advanced Excel skills to meticulously organize data from various operations groups, including Call Center, Relationship Managers, and Corporate Communications - Successfully created and managed surveys in Qualtrics, providing detailed and actionable insights to relationship managers and division leads

- Reconciled underpayment bond claims and diligently managed team’s data, providing critical metrics to management for daily, weekly, and monthly review

I Majored in Economics with a concentration in Computer Science