Mustafa E. Email & Phone Number

California, United States

New York, United States

With 70M+ active users, Roku is the largest vendor of smart TVs, aggregating several popular services like Netflix, Hulu, Disney+, and Roku’s own streaming service, The Roku Channel.At Roku, I work in research & development—a team responsible for designing and implementing cutting edge solutions that directly affect users and advertisers on the platform..

Boston, Massachusetts, United States

enaible is a technology startup that uses artificial intelligence to optimize employee performance and productivity in industries where work is performed frequently (eg. Tesla Assembly line). At enaible, I am responsible for blueprinting and developing the algorithms that comprise the main product.Amongst these technologies include: An intelligent.

San Francisco Bay Area

Workday is multi-billion dollar technology company specializing in human resources applications. At Workday, I championed the creation of a platform for anomaly detection powered by machine learning and AI.All aspects of the platform were fully automated except for one parameter, allowing product managers, software engineers, and other non-data scientists.

San Francisco Bay Area

CBJ Global is an AI boutique that uses data science and computational mathematics to identify investment opportunities in a variety of financial and non-financial markets. As a founder, I lead data science and machine learning efforts, contributing to the development of algorithms.We have also teamed up with the head of data science at Terradata, a Fortune.

Berkeley, California, United States

Assisting Professor L. El Ghaoui in teaching "Data Science for Finance," a course offered in the Masters of Financial Engineering (MFE) program—a worldwide top 5 masters program in finance.Data Science for Finance is a survey course on the machine learning models and mathematical optimization methods pertaining to financial engineering and financial data..

Berkeley, CA

In collaboration with the AMPLab, I fleshed out my interests in non-parametric and robust statistics; convexity; sparsity, compression, and representation; deep learning and expressivity. In my time as a researcher, I contributed to the following developments in Machine Learning: A method for sparse volatility forecasting, a closed-form expression for.

San Mateo, CA

Designed sophisticated, scalable algorithms that make B2B marketing software intelligent and predictive. Concentrated most heavily on a prototype B2B ads product that amalgamates various data sources to segment webpage visitors, display interactive 3D graphics, and report rich insights and analytics to the end user, typically a B2B marketer.

San Francisco Bay Area

Merrill Lynch is an American wealth management firm that manages over $2.2 Trillion dollars in assets and investments. At Merrill Lynch, I shadowed the senior vice president in fund management and client asset allocation. My work involved data entry, spreadsheet analysis, and a de-fragmentation and reorganization of the client contacts database, previously.

Phd Coursework, Computational Mathematics

Completed the series on numerical methods for optimization in the doctoral program for electrical engineering. Also attended a special.

Masters, Statistics & Machine Learning

Activities and Societies: Financial Modeling Club, Chicago Consulting Club Studied statistical machine learning, econometrics, and Chicago.

B.A. Honors, Economics (Quantitative)

Activities and Societies: Undergraduate Economics Association (Professional Affairs Comittee), Youth Outreach Program, Students for Hip.