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PhD researcher in Marketing (Ivey Business School, Western University) with a Computer Software Engineering background, working at the intersection of data science, quantitative marketing, and applied machine learning. I build Python-based data pipelines, apply deep-learning models (CLIP) for similarity/feature extraction from image datasets, and translate results into business-relevant insights. I also have extensive freelance experience in data annotation and evaluation across multiple AI platforms, using structured quality rubrics to ensure accuracy and relevance while maintaining high throughput. I’m comfortable running independent, deadline-driven work across concurrent projects and clearly documenting methods for technical and non-technical stakeholders.…PhD researcher in Marketing (Ivey Business School, Western University) with a Computer Software Engineering background, working at the intersection of data science, quantitative marketing, and applied machine learning. I build Python-based data pipelines, apply deep-learning models (CLIP) for similarity/feature extraction from image datasets, and translate results into business-relevant insights. I also have extensive freelance experience in data annotation and evaluation across multiple AI platforms, using structured quality rubrics to ensure accuracy and relevance while maintaining high throughput. I’m comfortable running independent, deadline-driven work across concurrent projects and clearly documenting methods for technical and non-technical stakeholders.

Amirhossein SabooniData

Marketing Analyst, Marketing Strategist, Marketing Consultant, +7

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PhD researcher in Marketing (Ivey Business School, Western University) with a Computer Software Engineering background, working at the intersection of data science, quantitative marketing, and applied machine learning. I build Python-based data pipelines, apply deep-learning models (CLIP) for similarity/feature extraction from image datasets, and translate results into business-relevant insights. I also have extensive freelance experience in data annotation and evaluation across multiple AI platforms, using structured quality rubrics to ensure accuracy and relevance while maintaining high throughput. I’m comfortable running independent, deadline-driven work across concurrent projects and clearly documenting methods for technical and non-technical stakeholders.…PhD researcher in Marketing (Ivey Business School, Western University) with a Computer Software Engineering background, working at the intersection of data science, quantitative marketing, and applied machine learning. I build Python-based data pipelines, apply deep-learning models (CLIP) for similarity/feature extraction from image datasets, and translate results into business-relevant insights. I also have extensive freelance experience in data annotation and evaluation across multiple AI platforms, using structured quality rubrics to ensure accuracy and relevance while maintaining high throughput. I’m comfortable running independent, deadline-driven work across concurrent projects and clearly documenting methods for technical and non-technical stakeholders.

Available to hire

PhD researcher in Marketing (Ivey Business School, Western University) with a Computer Software Engineering background, working at the intersection of data science, quantitative marketing, and applied machine learning. I build Python-based data pipelines, apply deep-learning models (CLIP) for similarity/feature extraction from image datasets, and translate results into business-relevant insights.

I also have extensive freelance experience in data annotation and evaluation across multiple AI platforms, using structured quality rubrics to ensure accuracy and relevance while maintaining high throughput. I’m comfortable running independent, deadline-driven work across concurrent projects and clearly documenting methods for technical and non-technical stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Annotation & Evaluation Contractor at Multiple AI Platforms (Toloka, Alignerr, micro1, Mercor & others)

January 1, 2024 - Present

Label and evaluate structured and unstructured data across multiple AI platforms using quality rubrics for accuracy, consistency, and relevance. Work across concurrent projects with minimal onboarding, maintaining high accuracy and throughput under deadline pressure. Serve as a domain-expert interviewee, discussing applied data pipeline methodology in depth with platform teams.

Doctoral Researcher — Data Science & Quantitative Marketing at Ivey Business School, Western University

January 1, 2023 - Present

Build and maintain a Python-based data pipeline for large-scale structured data collection and validation (approximately 150 firms, ~250 brands, covering 2000–2023). Clean, validate, and analyze datasets, then apply a pretrained CLIP deep-learning model to extract features and compute similarity metrics across image datasets. Use Python, R, and STATA for statistical and financial modeling, linking data patterns to real-world business and financial outcomes. Present findings to faculty, collaborators, and conference audiences.

Operations Manager at Mellat Insurance Company

April 1, 2020 - June 30, 2023

Tracked performance metrics and maintained structured records across departments to support data-driven decision-making.

Marketing Manager at Mellat Insurance Company

July 1, 2019 - March 31, 2020

Planned and executed marketing campaigns and positioning strategy. Coordinated with sales and operations teams to align messaging with business goals. Synthesized customer and market data from multiple sources to inform strategic decisions.