Research Areas:• Real Estate Pricing with Machine Learning techniques (Regression, Time Series, etc.)• Consumer Behavioral Analysis with Experimental Design• Customers' Segmentation and Unsupervised Learning in Property Loan Market• Business Popularity Predictive Modeling utilizing NLP, Regression, Classification, etc.Teaching Assistant: • Supervised graduate students in the following courses: Financial Management; Investment; Financial Planning; Micro Economics; Macro Economics; Modeling for Financial Analysis; Equity Analysis, etc. • Mentored and coached graduate students using teaching strategies that empower critical thinking and problem-solving skills for students struggling with courses materials

The Data Incubator is a highly selective (3% acceptance rate with over 2000 applicants) and an intensive fellowship that prepares the best scientists and engineers with advanced degrees for careers in data science and big data. • Completed various real-world data science projects covering: Utilizing Python Libraries(Numpy, Scipy, Pandas, Scikit-Learn, Spacy, BeautifulSoup, etc), Web Scraping, Graph Analysis, Machine Learning, Visualization, Time Series Analysis, Natural Language Processing, Distributed Computing (MapReduce, Spark), Neural Network(TensorFlow), etc. • Developed independent capstone project which improved the accuracy of speech popularity predictive model utilizing machine learning. (https://github.com/rezataeb/TDI)

• Managed an investment portfolio of 10 million dollars in real estate, stock, and futures markets with an average 10% monthly return on investments in 2012 and 2014.• Evaluated risk and feasibility of proposed projects and collaborated with marketing and management teams in designing business models. • Analyzed revenue options for clients with statistical modeling and experimental design• Designed personalized dashboards to visualize investment metrics for stakeholders.• Worked cross-functionally with marketing and operation teams in order to capture information and insight and update financial modeling plans.