Contact Information
- Email: [email protected]
- Phone: (+98) 9134043394
- LinkedIn: LinkedIn Profile
- GitHub: GitHub Profile
Education
MBA in Finance, University of Kashan (GPA: 17.68 / 20)
2019 - 2023
- Notable Courses: Microeconomics, Metaheuristic Optimization (Project: Presenting Ant-Colony Algorithm), Financial Markets and Institutions (Focus: Derivatives Market Strategies), Operation Management (Focus: Decision-Making Strategies)
B.Sc. Chemical Engineering, Petroleum University of Technology (GPA: 13.68 / 20)
2012 - 2017
- Extracurricular Activities: Head of Foreign Language Development Center (2014 - 2016), Head of Information Technology Services Students’ Union (2013 - 2015)
Non-Academic Experience
GMAT/Mathematics Tutor — OstadBank (Freelance)
Jan 2023 – Present
- Awarded the “Best Tutor” badge in Spring 2023.
Business Development Specialist — Iranicard (Internship)
Jan 2023 – Feb 2023
- Key Contributions: Presentation, B2B Marketing.
Chief Marketing Officer — Mahestan Mattress (Full-Time)
Oct 2022 – Dec 2022
- Responsibilities: Supply chain warehouse and transportation management.
Research Interests
- Derivatives Markets
- Portfolio Management
- Algorithmic Trading
Projects
MBA Thesis: Identification and Prioritization of Factors Affecting Herding Behavior of Investors in Tehran Stock Exchange Market (2023)
- Research Field: Behavioral Finance
- Research Method: Descriptive-exploratory
- Analytical Method: Analytical Hierarchy Process (AHP)
Skills
- Industry Knowledge: Financial markets, Derivatives, Behavioral finance
- Programming Languages: Python (Pandas, NumPy, Matplotlib), R (ggplot2, dplyr, tidyr), SQL, HTML, CSS
- Data Analysis Tools: RStudio, Jupyter Notebooks
- Project Management: Git, ClickUp, Trello, Mizito
- Interpersonal Skills: Creativity, Communication, Collaboration
- Languages: English (Fluent)
Certifications
- Advanced R Programming — The Johns Hopkins University (Dec 2023)
- Mathematics for Machine Learning: Linear Algebra — Imperial College London (Dec 2023)
- Mathematics for Machine Learning: Multivariate Calculus — Imperial College London (Dec 2023)
- Statistics — 365 Data Science (Nov 2023)
- Supervised Machine Learning: Regression and Classification — DeepLearning.AI (Nov 2023)
- Python Pandas Introduction to Machine Learning — Kaggle (Jun 2023)
Personal Website
Visit amirkiani.info to explore my blog and stay updated on my latest thoughts and projects.