Chaya Rosenblum

• Perform in-depth analyses of algorithm pipelines to identify and resolve performance anomalies
• Apply advanced statistical methods to uncover trends, outliers, and inefficiencies in large-scale data
• Serve as MMX domain expert, facilitating cross-team knowledge sharing and collaboration to enhance data accuracy and reliability.
• Develop automated data validation tools using PySpark and the Ch

• Identified key strengths and weaknesses of the organization’s websites by analyzing site traffic and behavior patterns
• Created data-driven strategies to boost user engagement and attract new audiences

• Conducted in-depth analysis of site traffic and user behavior to drive increases in overall traffic, newsletter readership, and user-generated content submissions

Completed an intensive, 255-hour professional certification program covering end-to-end Data Science workflows, advanced deep learning architectures, and production-level deployment.

Core Focus Areas:
• Machine Learning & Deep Learning: Supervised/unsupervised learning, advanced statistical modeling, Computer Vision (CNNs), and Generative AI (Transformer architectures).
• Engineering & Optimizati

Combination of business courses such as Finance, Accounting, Business Strategy, and Marketing with data science courses including Linear Models, Econometrics, Machine Learning, and Text Mining for Business Applications

Projects:
• Seminar in Data Science: Building a Stock Signal Based on Transcript Analysis (group project)
My partner and I built a stock signal from analysis of a sample of raw ea

• Member of Dean’s Honour List, 2012-13 through 2014-15