shayan yadegari
@shayanyadegari
Strategic Machine Learning Engineer with expertise in data-driven solutions.
What I'm looking for
I am a strategic and innovative Data & Analytics professional with over five years of experience in delivering transformative, data-driven solutions. My expertise lies in leading full-stack machine learning deployments, automating processes with modern tools, and extracting insights from complex datasets. I excel at combining machine learning, automation, CRM systems, and reporting platforms to build scalable and impactful business solutions.
Currently, I work as a Data & Measurement Consultant at Receptional Marketing Agency, where I design and deploy containerized ML applications using Docker and host them on Railway.app. I have successfully built and integrated RNN models using PyTorch to forecast conversion seasonality and applied Multi-Armed Bandit algorithms for intelligent A/B testing across ad channels. My role also involves fine-tuning GPT models for content generation, automating reporting processes, and utilizing Google Cloud Platform for managing large datasets.
Previously, I served as a Data Solution Specialist at Panoptopia, where I developed regression models for business metrics and built large-scale web crawlers for competitive analysis. My experience includes creating robust ETL flows and interactive Tableau dashboards to visualize marketing KPIs, enabling stakeholders to make informed decisions based on real-time data insights.
Experience
Work history, roles, and key accomplishments
Data & Measurement Consultant
Receptional Marketing Agency
Feb 2023 - Present (2 years 5 months)
Designed and deployed containerized ML applications using Docker, hosted on Railway.app, with CI/CD pipelines via GitHub Actions. Built and integrated RNN models using PyTorch to forecast conversion seasonality for clients.
Data Solution Specialist
Panoptopia
Mar 2020 - Present (5 years 4 months)
Assisted in developing and implementing regression models to predict key business metrics for budget pacing and decision-making processes. Built large-scale web crawlers using Scrapy, deployed on AWS EC2 instances for extraction and scheduling.
Education
Degrees, certifications, and relevant coursework
Canterbury Christ Church University
Master of Business and Marketing, Business and Marketing
Grade: 2:1
Studied advanced statistics, programming, and market research, focusing on business promotions. Gained expertise in computer science principles applicable to marketing strategies.
Isfahan University of Technology
Bachelor of Science, Computer Science
Grade: 3.21
Focused on programming, algorithms, database management, and data structures. Developed a strong foundation in statistics and probability relevant to computer science applications.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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