Amin Mostafavi
Data-Driven Inventory Accountant & Aspiring Finance Analyst
Dedicated inventory accountant with over 2 years of experience in inventory valuation, budgeting, and financial reporting within industrial and trade sectors. Published researcher on geopolitical economic stability, with a keen interest in financial analytics. Currently advancing data science skills, including Python, regression analysis, and machine learning basics, through self-study and the ongoing Tehran University program. Dan 2 black belt kickboxer and coach, showcasing resilience and leadership in high-pressure environments. My background bridges traditional accounting with data-driven insights, enabling analysis of cost trends, risk patterns, and performance metrics. This prepares me for roles at the intersection of corporate finance and analytics, where tools like predictive modeling can enhance decision-making in volatile markets.
Education
B.Sc. in Accounting (Islamic Azad University, Khorasgan Branch, Isfahan, Iran – September 2020 to September 2025), with a strong focus on management accounting, cost estimation, variance analysis, budgeting, and financial basics (e.g., NPV, IRR). Ongoing: Comprehensive Data Science Program, University of Tehran (Tehran Data, online – October 2024 to October 2025), covering Python (Pandas, NumPy), regression analysis, machine learning basics, data visualization (Matplotlib, Seaborn), time series, and Power BI. This combination of accounting expertise and data science skills allows me to analyze financial statements alongside data-driven models, identifying cost drivers, forecasting risks, and supporting strategic decisions—preparing me for advanced studies in financial analytics.
Work Experience
My professional experience connects accounting precision with data-informed insights, inspired by real-world challenges in inventory tracking, cash flow management, and cost control across factories, trade companies, and small businesses. From roles at Pasargad Sepahan Tile Factory (cost center allocation, supplier analysis, budgeting) and Baz Sazan Foolad (financial reporting, reconciliation) to owning Fitfood Cafe (inflation navigation, opportunity cost assessment), I’ve seen how accurate data drives profitability. These experiences motivate tools like dashboards for variance analysis and predictive modeling for risk, bridging corporate finance with analytics.
Projects & References
A growing portfolio blending accounting, data science, and financial analytics: from Python-based stock prediction prototypes (using regression and basic ML) to cost trend analysis tools and risk-focused dashboards that translate data into actionable business insights.These projects draw from factory management endorsements, conference participation on geopolitical stability, and practical applications in budgeting/inventory. References confirm my technical proficiency in Python/data visualization and suitability for advanced finance studies, where I aim to develop analytics for corporate resilience and trading.
Certifications
Selected certifications in martial arts, data science, front-end development and accounting standards – with documents and references available on request.
Skills Overview
A snapshot of my accounting, data, technical, and interpersonal skills that support data-informed decision making and strategic analysis.
Accounting
Core accounting skills used in budgeting, reporting, and financial decision making.
Data Science & Technical
Analytical and technical tools I use to work with data and build practical solutions.
Soft Skills
Human skills that help me lead, adapt, and communicate effectively in diverse environments.
GALLERY
A selection of martial arts photos and highlights. Click any image to enlarge, or use “More” to load additional shots.
Get in touch
If you’d like to discuss a project, collaboration, or just say hello, feel free to send a message using the form. I’ll get back to you as soon as possible.