Zahra Sarmast's Email & Phone Number

💼 Past Experience

Zahra Sarmast has a background in Quantitative Analytics, Financial Mathematics, Python, C, Corporate Finance, Machine Learning, Data Analysis, R, Matlab, Stochastic Calculus, Financial Planning, C++, Quantitative Finance, Teamwork, Risk Management, Financial Modeling, Project Management, Computational Mathematics, Financial Analysis, Statistics. She previously worked as a Data Science / Analytics Manager at Sally Beauty, a Associate Data Scientist at JPMorgan Chase & Co. from December 2017 to August 2020, a Data Analytics and BI Analyst at JPMorgan Chase & Co. from June 2017 to December 2017, a Data Scientist Intern at Edge GeoscienceInc from March 2017 to June 2017, and a Research and Teaching Assistant at University of Houston from January 2015 to December 2016. Sarmast also holds a degree in Business Administration from the University of Houston.

🎓 Education

Zahra Sarmast's educational background and work readiness are as follows:Zahra Sarmast has a Master's degree in Computational and Applied Mathematics from Semnan University and a Master's degree in Applied Mathematics, Data Science from Iran University of Science and Technology. She also has a Doctor of Philosophy in Applied Mathematics, from University of Houston.

💡 Technical & Interpersonal Skills

Zahra Sarmast is a Professional Data Scientist with over 10 years of experience in the field of data science and analytics. After earning her undergraduate degree from the University of Houston in 2013, Sarmast studied at JPMorgan Chase & Co. where she worked as a data analyst and then as a data scientist. At JPMorgan Chase & Co., Sarmast worked on a variety of projects including financial modeling, data analysis, and risk management. In her previous roles, Sarmast has showed herself to be an extremely adept at working in teams, capable of working on multi-dimensional projects and problem solving independently if necessary. Additionally, Sarmast is very good at usingtlanguages such as Python, C++, and R - which means she is well-equipped to work on large-scale projects. Overall, Sarmast has a wide range of experience and qualifications which make her an ideal candidate for the role of data science manager at Sally Beauty.