Replication of the 2021's GameStop short squeeze using a multi-agent-based model

• Built, designed, and automated models for anomalies detection in derivative transactions using unsupervised learning (using Python, SQL, & C#)• Implemented k-prototype (ULM) model and dealt with a dozen different derivatives (swaps, warrants, forwards, etc.)Key accomplishments: Implementation of AI in processes to optimize auditors' time and to work more efficiently

• Managed and de-escalated customers inquiries by offering feasible solutions while promoting company services• Collaborated with team members to strategize viable and lucrative solutions to meet sale and satisfaction targetsKey accomplishments: Being awarded for three consecutive months, “Gold Customer Service Standard”