Muhammad Ghazalli Email & Phone Number

Dynamic Data Scientist with over five years of experience in data mining, manipulation, and visualization. Expertise in deploying machine learning models and cloud solutions (GCP and Azure) to drive data-driven innovation. Proven track record in optimizing operations and enhancing decision-making through advanced analytics and artificial intelligence.

Listed skills include Microsoft Word, Microsoft Excel, Microsoft Office, Powerpoint, and 11 others.

• 

  Data Scientist

  Petrosea

  Apr 2022 - Present - Jakarta, Indonesia

  • Developed and maintained end-to-end data pipelines for mining operational business leveraging machine learning techniques. Orchestrated the pipelines using Kedro and deployed them on Azure Kubernetes Service. Ensured seamless integration through GitLab CI/CD for efficient deployment and updates.• Successfully migrated end-to-end data pipelines into Azure ML Pipelines, optimizing scalability, performance, and resource management.• Researched, developed, and deployed exploration company reports for the exploration team using a variety of OCR models. Tasks included document layout classification, text detection, text recognition, and table extraction. Orchestrated the workflow using Kedro to streamline processes and enhance productivity.• Spearheaded research and development efforts to create machine learning models tailored for core tray extraction for the exploration team, enhancing efficiency and accuracy in core sample analysis.• Implemented Azure OpenAI to generate corrective actions within safety, health, and environment applications, contributing to proactive risk management strategies. Deployed solutions using Flask for seamless integration and accessibility.• Led research initiatives focused on creating OCR models for extracting critical information from Medical Check-Up documents. Developed algorithms, including Spatial Dual-Modality Graph Reasoning for Key Information Extraction, to ensure accurate extraction of key data points. Implemented logic to match employee results with company regulations, ensuring compliance and safety standards.