Melanie C.

Background

About Melanie C.

Results-driven Data Science Leader with 13+ years of success heading impactful data science initiatives within the financial services industry. Proven ability to build and mentor high-performing teams that deliver results within risk management, compliance, and customer analytics. Demonstrated expertise in designing and implementing advanced machine learning models (linear regression, random forests, etc.) that directly influence executive decision-making, mitigate fraud risk, and optimize business operations. Adept at leveraging big data technologies to uncover hidden patterns within large datasets, driving and enhancing operational efficiency. Proven track record in establishing and maintaining robust model governance frameworks, ensuring adherence to regulatory standards (AML, CFT, etc.), and successfully managing regulatory exams and audit requests- Leadership & Management: Talent Development & Mentoring, Cross-Functional Collaboration, Executive-Level Communication & Influence, Change Management - Model Risk Management: Governance & Validation Frameworks, Regulatory Compliance (AML, CFT, SAR, PEP), Audit Management - Statistical Modeling & Machine Learning: Linear & Logistic Regression, Decision Trees & Random Forests, K-Nearest Neighbors, Gradient Boosting, Advanced Algorithms, Technical Proficiencies (Data Cleansing & Preparation, ETL Processes)- Programming Languages: Python, R, SAS, SQL, BigQuery- Databases & Cloud Platforms: Oracle, Hadoop, Hive, Impala, Azure, GCP - BI & Visualization Tools: Tableau, Power BI, Cognos, Excel (Pivot Tables, VBA)