Seth Mottaghinejad

Seth Mottaghinejad is a data scientist at Microsoft who uses Microsoft Azure Machine Learning to train clients and partners to build and deploy AI-infused solutions. Before joining Microsoft, Mottaghinejad was an analytics consultant at Revolution Analytics, where he helped clients build big data solutions in R. He also has experience in business analytics from his previous roles at American Express and Saks Fifth Avenue. When he's not wrangling data, Mottaghinejad enjoys traveling and exploring the outdoors.

Experience

Data Scientist

• Company Name Microsoft
• Dates EmployedMay 2015 – Present
• Employment Duration4 yrs 1 mo
• LocationGreater Seattle Area

As a data scientist at Microsoft, I am part of the effort and vision by Microsoft to make machine learning and big data accessible to the people at the tail end of data-driven decision making. We intend to have a platform that will let data scientists get back to focusing on the business problems instead of being bogged down by technical or technological problems that otherwise take up so much of our time. I'm proud to see this vision unfold into reality before my eyes.

My primary focus is helping our customers understand where and how Microsoft can help you create a data-driven culture. In my current role I train our customers and partners o... See more

Analytics Consultant

• Company Name Revolution Analytics
• Dates EmployedJun 2013 – Apr 2015
• Employment Duration1 yr 11 mos
• LocationSeattle, WA

R is one of the most important tools in the data science toolkit. What makes R so great for data analysis and exploration is how quickly we can go from the raw data to a narrative. Most questions that pop up along the way can usually be answered with a few lines of R code. Moreover, every piece of information in R is at your fingertip, resulting in ultimate fl... See more

Senior Analyst

• Company Name Saks Fifth Avenue
• Dates EmployedMay 2012 – May 2013
• Employment Duration1 yr 1 mo
• LocationGreater New York City Area

As a member of the Customer Analytics and Insights team, my role consists of using our data to understand our customers. Transactional data allows us to see what customers purchase, how often they make purchases, through which channel they purchase (online or in-store), how they take advantage of sales and promotions, which payment method they choose

Statistical Analyst

• Company Name American Express
• Total Duration2 yrs 8 mos
• Dates EmployedNov 2010 – May 2012
• Employment Duration1 yr 7 mos
• LocationGreater New York City Area

As an analyst in the Quantitative Analysis and Modeling team, I used statistics and data mining to extract insights from our data. Our team built response models that were used to score customers based on their propensity to spend with a merchant. I performed back-testing and benchmarking to monitor the models’ performance. I used factor analysis to reduce.

SAS Analyst

• Dates EmployedOct 2009 – Nov 2010
• Employment Duration1 yr 2 mos

I initially joined American Express Business Insights as a reporting analyst and was in charge of creating and automating reports around customer spend for our merchants (businesses who accepted our card). Challenges I faced included determining what metrics were the most important and where our data fell short, and consolidating different definitions

Education

BYU Degree NameB.S. Field Of StudyApplied Statistics Dates attended or expected graduation 2005 – 2009

Lycée Camille Sée Dates attended or expected graduation 1997 – 1998