About Alireza Barzin Zanganeh
AI/ML Engineer | Aspiring Applied Scientist | Data Strategist
I'm driven by the challenge of turning data into intelligent systems that solve real-world problems. With a multidisciplinary background in theoretical economics, civil engineering, business leadership, and software development, I bring a unique blend of analytical rigor and strategic thinking to every project. My mission is to become an Applied Scientist, where I can build scalable AI solutions that deliver measurable impact across industries.
Education & Learning Journey
Bachelor's in Theoretical Economics
Specialized in econometrics, statistical modeling, and quantitative analysis
Bachelor's in Civil Engineering
Systems thinking and analytical problem-solving
Master's in Executive MBA
Strategic decision-making and business acumen
Software Engineering Certificate
2-year program at Portland Community College
AI/ML Software Engineering Program
Currently completing a 1-year upskilling journey with Interview Kickstart, working on real-world projects alongside top-tier engineers from leading tech companies
Professional Experience
Over the past two decades, I've led and contributed to applied research projects across diverse industries in Iran, building a strong foundation in data analysis, market research, and statistical modeling:
Customer Behavior Research – IranKhodro
Conducted segmentation and behavioral analysis for Iran's largest car manufacturer, applying regression techniques and consumer data modeling.
Insurance Analytics – IranKhodro Insurance Company
Participated in actuarial modeling and risk analysis to support premium pricing and claims forecasting.
Leasing Market Analysis – Sina Leasing Co.
Developed financial models and feasibility studies for automotive and equipment leasing, focusing on credit risk and asset valuation.
Feasibility & Market Research – Pars PoliFoam Co.
Led a market research initiative for expandable foam products, analyzing demand trends, competitive positioning, and investment feasibility.
These experiences laid the groundwork for my transition into AI/ML, equipping me with a deep understanding of applied research and data-driven strategy.
Technical Expertise
Machine Learning
Supervised/unsupervised learning, feature engineering, model evaluation
Deep Learning
Neural networks, CNNs, transformers
Data Science
Statistical analysis, data wrangling, predictive modeling
MLOps
Model deployment, monitoring, and production pipeline management
Research & Analytics
Market analysis, econometrics, and business intelligence
Career Focus
I'm actively building toward a career as an Applied Scientist, where I can combine my technical expertise, business insight, and research experience to develop scalable AI solutions that drive innovation and impact.