Remote
Key accomplishments
Throughout my career, I have honed my abilities in statistical analysis, data analysis, machine learning, and programming languages such as Python, R, and SQL. I have successfully applied these skills to drive strategic business decisions and have consistently delivered measurable improvements in revenue, operational efficiency, and customer satisfaction.
I developed a specialized program for a Facebook advertising agency, enabling the generation of predictive time series models to forecast monthly advertising revenue that directly impacted the organization’s bottom line.
As a Data Scientist specializing in Anti-Financial Crime Modeling at Deutsche Bank, I established and maintained a robust data governance framework, contributing to the organization’s reputation for rigorous adherence to data ethics. I also developed an in-house Python package that optimized task execution and saved significant coding hours and runtime.
While at the Financial Industry Regulatory Authority (FINRA) I designed and implemented an application that detected data similarity among a dataset of 6,000 financial firms, resulting in the creation of cohesive risk-based clusters. I also generated data visualizations using tools like SAS and developed proofs-of-concept to identify anomalies in securities trading.
Furthermore, my educational background, including a Master of Science in Data Science from Columbia University, has equipped me with a strong foundation in data science principles. My academic projects, such as Article Summarization with Neural Networks and Predicting Consumer Behavior in Madrid Neighborhoods, have demonstrated my ability to apply advanced data science techniques to real-world problems.
Role 1
Data scientist
Role 2
Ai engineer
B2b software and services
Any
Senior
United States
Any
NA