I'm Zahra Sangbori Toroghi, a data scientist and machine learning engineer with 3+ years of experience building end-to-end ML pipelines, advanced predictive models, and scalable analytical workflows. I work across tabular, time-series, NLP, and multimodal datasets, with a focus on feature engineering, statistical modeling, experiment design, and production deployment on cloud platforms (AWS, Kubernetes). I'm currently completing an MSc in Computer Science at King's College London. I have hands-on experience with LLMOps, RAG architectures, and distributed training, and I'm adept at translating analytical findings into actionable insights for engineering, product, and leadership teams. I’m a strong communicator who translates complex analytical findings into actionable insights for product and leadership, and I’m actively applying research-to-production workflows in cloud environments (AWS, Kubernetes).

Zahra Sangbori Toroghi

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I'm Zahra Sangbori Toroghi, a data scientist and machine learning engineer with 3+ years of experience building end-to-end ML pipelines, advanced predictive models, and scalable analytical workflows. I work across tabular, time-series, NLP, and multimodal datasets, with a focus on feature engineering, statistical modeling, experiment design, and production deployment on cloud platforms (AWS, Kubernetes). I'm currently completing an MSc in Computer Science at King's College London. I have hands-on experience with LLMOps, RAG architectures, and distributed training, and I'm adept at translating analytical findings into actionable insights for engineering, product, and leadership teams. I’m a strong communicator who translates complex analytical findings into actionable insights for product and leadership, and I’m actively applying research-to-production workflows in cloud environments (AWS, Kubernetes).

Available to hire

I’m Zahra Sangbori Toroghi, a data scientist and machine learning engineer with 3+ years of experience building end-to-end ML pipelines, advanced predictive models, and scalable analytical workflows. I work across tabular, time-series, NLP, and multimodal datasets, with a focus on feature engineering, statistical modeling, experiment design, and production deployment on cloud platforms (AWS, Kubernetes). I’m currently completing an MSc in Computer Science at King’s College London.

I have hands-on experience with LLMOps, RAG architectures, and distributed training, and I’m adept at translating analytical findings into actionable insights for engineering, product, and leadership teams. I’m a strong communicator who translates complex analytical findings into actionable insights for product and leadership, and I’m actively applying research-to-production workflows in cloud environments (AWS, Kubernetes).

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Advanced
Persian
Fluent

Work Experience

Freelance Machine Learning Consultant | Upwork at Upwork
November 23, 2023 - September 24, 2024
Engineered NLP models for health trends analysis using Python classification algorithms, deploying in production via Kubernetes on AWS, achieving 30% accuracy boost and 40% faster deployments. Optimized models with Random Forest and Gradient Boosting, improving accuracy by 20% through rigorous evaluation and iterative enhancements. Developed 15+ interactive dashboards with Tableau and Matplotlib, uncovering key data patterns and accelerating management reporting by 25%; leveraged React for prototype frontend integrations.
Data Scientist at Hamrahan System Hami
July 13, 2022 - September 25, 2023
Collected and organized multi-source data for diabetes and power consumption projects using SQL and Python, building predictive models that enhanced accuracy by 25%. Automated data collection with Python scripts (BeautifulSoup, Pandas), slashing preprocessing time by 40%. Deployed scalable models on AWS (S3, EC2, SageMaker), reducing processing time by 30% and creating insightful dashboards with QuickSight; explored React for enhanced user interfaces. Optimized data tasks with PySpark, boosting processing speed by 40%; collaborated on Kubernetes for high-availability ML deployments. Ensured data integrity with Pandas/NumPy cleaning and validation, improving model performance by 15%.
Machine Learning Intern at Maktab Sharif
December 16, 2021 - July 25, 2022
Built diabetes prediction model from NIDDK dataset, applying classification and validation techniques; visualized trends in Tableau for better diagnosis insights, with React prototypes for interactive views. Created scatter plots, histograms, and heat maps to present findings, facilitating effective decision-making
Generative AI Specialist at Kerpoo Studio
August 1, 2024 - Present
Designed and implemented object removal and replacement systems with up to 90% accuracy; developed models for object recognition in 2D and 3D environments; optimized 2D/3D interior architecture using generative AI; established direct data contracts with Amazon for access to data resources.
Freelance Machine Learning Consultant at Upwork
November 1, 2023 - September 1, 2024
Developed and deployed a natural language processing model for health trends analysis, achieving 30% improvement in accuracy; optimized predictive models with Random Forest and Gradient Boosting (20% accuracy gain); orchestrated containerized applications with Kubernetes to automate scaling and management, reducing deployment time by 40%; implemented Helm for configuration management and integrated with AWS for high availability; created interactive dashboards with Tableau and Matplotlib, speeding reporting by 25%.
Generative AI Engineer at Kerpoo Studio
August 1, 2024 - Present
AI-powered image/video processing and 3D interior design generation. Designed and deployed production-grade object removal and inpainting pipelines using transformer-based generative models. Built end-to-end ML pipelines for 2D/3D interior architecture generation using diffusion models, improving output quality by 90% over baseline. Developed advanced object recognition models for both 2D and 3D environments, integrating results into a live Amazon data pipeline. Managed data contracts with Amazon, ensuring reliable real-time data ingestion and reproducible analytical workflows for production AI systems.
Machine Learning Consultant at Upwork
November 1, 2023 - September 1, 2024
International ML projects across NLP, predictive modeling, and MLOps. Fine-tuned and deployed NLP classification models for health trend analysis, achieving 30% improvement in prediction accuracy in production. Built predictive models (Random Forest, Gradient Boosting) with robust validation, and produced 15+ dashboards in Tableau/Matplotlib to accelerate reporting. Orchestrated containerized ML workloads with Kubernetes + Helm and integrated AWS for high-availability model serving across distributed endpoints.

Education

Bachelor of Science in Applied Mathematics at K.N. Toosi University of Technology
October 1, 2019 - September 30, 2023
Master of Computer Science at King’s College London
November 1, 2024 - December 24, 2025
Master of Computer Science at King's College London
October 1, 2024 - December 24, 2025
Bachelor of Science in Applied Mathematics; GPA: 3.0/4.0 at K.N.Toosi University of Technology
September 1, 2019 - August 1, 2023
MSc at King's College London
October 1, 2024 - March 14, 2026
BSc at K.N.Toosi University of Technology
September 1, 2019 - August 1, 2023

Qualifications

IELTS
January 1, 2024 - December 24, 2025
Government Scholarship Awardee - Mathematics and its Applications
January 1, 2019 - December 31, 2023
First Place, Algorithm and Data Structures Competition Among 5,100 students
January 1, 2021 - December 31, 2021
Ranked in Top 10% Mathematics National Entrance Exam
January 1, 2019 - December 31, 2019
First Place, Mathematics Olympiad District 1, Tehran, Iran
January 1, 2017 - December 31, 2017
IELTS 7.5
January 1, 2024 - March 14, 2026
Build, Train & Deploy ML Pipelines using BERT (Coursera)
January 11, 2030 - March 14, 2026
Sequences, Time Series & Prediction — DeepLearning.AI
January 11, 2030 - March 14, 2026
Analyze Datasets & Train ML Models using AutoML — AWS (Coursera)
January 11, 2030 - March 14, 2026
Mathematics for ML: PCA — Imperial College London
January 11, 2030 - March 14, 2026
Convolutional Neural Networks in TensorFlow — DeepLearning.AI
January 11, 2030 - March 14, 2026
NLP in TensorFlow — DeepLearning.AI
January 11, 2030 - March 14, 2026
Machine Learning with Python — IBM
January 11, 2030 - March 14, 2026

Industry Experience

Healthcare, Computers & Electronics, Other, Software & Internet, Energy & Utilities, Professional Services, Media & Entertainment, Education