USF's one-year Master of Science in Analytics (MSAN) program trains students to scrape, process, organize and analyze large data sets to identify patterns and trends. The MSAN program delivers rigorous training in the mathematical and computational techniques of big data. The boot camp is an intensive introduction to and review of the foundational knowledge and skills required for sophisticated business analysts and data scientists. Students choose two out of three intensive courses in probability and statistics, computation for analytics, and linear algebra. USF provides training in the leadership, teamwork, communication, professionalism and project execution skills that are vital for analysts and data scientists to be effective in the business world.

Williams-Sonoma Inc.

Williams-Sonoma, Inc., is an American publicly traded consumer retail company that sells kitchenwares and home furnishings.It is headquartered in San Francisco, California, United States. It is one of the largest e-commerce retailers in the U.S., and one of the biggest multi-channel specialty retailers in the world.

Williams-Sonoma, Inc., is an American publicly traded consumer retail company that sells kitchenwares and home furnishings.It is headquartered in San Francisco, California, United States. It is one of the largest e-commerce retailers in the U.S., and one of the biggest multi-channel specialty retailers in the world. I am currently a data science intern at William Sonoma Inc. where I perform advanced image analysis in python. Williams-Sonoma, Inc. earns 50% of its net revenue from online and catalog orders. Due to this source of high revenue, WS has designers that specialize in ‘hand-picking’ products for photo shoots in order to create aesthetically pleasing photos based on color, pattern, and texture. The large distribution of WS media has thus created the need to assemble the photos more efficiently distinguished by its features: color and pattern. There are 3 key problems regarding image analysis that I have worked on till date :

• Classification of photos into silhouettes and lifestyles
• Identifying object in a lifestyle setting and predicting its color
• Recognizing patterns such as polka dots and stripes in products in images

Mu Sigma Business Solutions

Mu Sigma is a category-defining decision sciences and big data analytics company, helping enterprises systematize better data-driven decision making. They have a unique interdisciplinary approach and cross-industry learning drive innovation in solving high-impact business problems across marketing, risk and supply chain. With over 3500 decision scientists and experience across 10 industry verticals, Mu Sigma has been consistently validated as the preferred Decision Sciences and analytics partner. They provide an integrated decision support ecosystem of products, services and cross-industry best practice processes transforming the way decisions are enabled in enterprises for more than 140 Fortune 500 clients.

Specialties: Analytics: Risk Analytics, Retail Analytics, Marketing Analytics, Supply Chain Analytics, Big Data, Internet of Things, Decision Sciences, Data Sciences

At Mu Sigma, I had acquired both technical breadth and depth. I was exposed to varied business operations, owing to experience in working across various verticals. I was responsible for designeing and implementing strategies and analytical solutions by processing complex structured and unstructured data, while thoroughly understanding the business requirements. I also gained experience in project planning, working with stringent deadlines, and presenting to large audiences.