Zohaib Dayo

Results-driven Data Scientist and AI Engineer specializing in Python, Machine Learning, and Generative AI. Proven expertise in engineering intelligent multi-step AI pipelines, deploying predictive models, and extracting actionable analytics. Passionate about solving complex data challenges, optimizing ML algorithms for edge devices, and building intelligent autonomous agents that drive enterprise automation and advanced decision-making.

Cloud Applied GenAI Engineer - Governor Sindh Initiative - Karachi, Pakistan

(2023-03)

• Designed and implemented end-to-end Generative AI agent workflows, directly improving task automation accuracy by 40%.
• Constructed multi-step AI pipelines integrating Large Language Models (LLMs) with 3+ real-world data sources, enhancing organizational decision-making efficiency by 25%.
• Collaborated in a cross-functional team of 5 engineers to deploy AI-driven Natural Language Understanding (NLU) projects, successfully serving over 500 daily user requests.
• Improved predictive model accuracy by 25% through rigorous data cleaning methodologies, feature engineering, and advanced hyperparameter tuning.
• Developed and deployed 5+ interactive data visualization dashboards, effectively communicating complex analytical insights to 20+ key stakeholders.
• Architected an offline Edge AI solution that achieved 90%+ accuracy for regional language speech recognition.
• Optimized lightweight Machine Learning models for deployment on edge devices, enabling the processing of low-resource languages with under 50ms latency.
• Programmed an intelligent application leveraging sophisticated computer vision algorithms to accurately analyze ingredient images and recommend 5,000+ potential recipes.
• Developed a data aggregation pipeline processing reviews and data for 11,000+ hotels utilizing advanced Natural Language Processing (NLP) techniques to perform deep sentiment analysis.

Data Science Intern - Oracle - Remote

(2023-01 - 2024-12)

• Improved predictive model accuracy by 25% through rigorous data cleaning methodologies, feature engineering, and advanced hyperparameter tuning.
• Developed and deployed 5+ interactive data visualization dashboards, effectively communicating complex analytical insights to 20+ key stakeholders.

BS Information Technology - AI & Machine Learning - Sindh Madressatul Islam University (SMIU) (2022-01 - 2026-12)