Amir Khoshnafs
Junior machine learning engineer focused on computer vision, deep learning, and reliable model evaluation.
About Me
Get to know the person behind the models - my background, interests, and what drives me in machine learning, computer vision, and statistics.
My Story
I'm a junior machine learning engineer focused on computer vision and deep learning, with hands-on experience building modular Python projects in object detection, image segmentation, and video analytics.
My background in economics and ongoing graduate studies in statistics give me a strong quantitative foundation in regression, estimation, optimization, and reliable evaluation.
I'm especially interested in training behavior, model design, reproducible workflows, and turning machine learning ideas into practical, well-structured solutions.
Quick Facts
My Skills
A comprehensive overview of my technical background across programming, machine learning, computer vision, and workflow practices.
Programming & DBs
Libraries & Frameworks
Tools & Platforms
Featured Projects
Explore a selection of my computer vision and analytics projects, built around real-world data, practical problem solving, and clean end-to-end implementation.
Vehicle Speed Estimation
A perspective-aware traffic analysis project that detects and tracks vehicles from video, then estimates their speed using computer vision techniques and scene calibration.
U-Net Salt Segmentation
A PyTorch-based image segmentation project that uses a U-Net architecture to identify salt deposits, with a focus on structured training, evaluation, and prediction quality.
Want to see more?
Check out my GitHub for additional projects and contributions to the data science community.
View All ProjectsMy Journey
A timeline of my professional experience and educational background that shaped my foundation in machine learning, statistics, and quantitative analysis.
Experience
Financial Educator / Analyst
Global Trading Insights · Remote
- Produced and published over 30 educational videos on global trade, economics, and market dynamics.
- Reviewed YouTube Studio metrics, including click-through rate, retention, and traffic sources, to improve topic selection and presentation.
- Used performance insights to refine educational content strategy and strengthen audience engagement.
- Reached international audiences through educational content on global trade, economics, and market dynamics.
Finance Analyst Intern
Abbaszadeh Group · On-site
- Supported expense and cash-flow tracking in Excel for monthly financial reporting.
- Conducted market research on currency trends and trade operations, and organized reports for management review.
- Assisted with organizing financial documents and supporting internal reporting workflows.
Education
M.S. in Statistics
Ege University
Focus Areas
B.S. in Economics
Dokuz Eylul University
Related Coursework
Get In Touch
I'm currently open to machine learning, computer vision, and data-focused opportunities. Whether you have a question, a collaboration idea, or a role in mind, my inbox is always open.
amir_khoshnafs@yahoo.com
Phone
+90 (539) 544-5624
Location
Izmir, Turkey