Emmanuel O.

Key Skills

Software

Google Cloud Vertex AI

Top Subject Matter

Engineering & Technical Documentation Analysis

Customer Support & AI Chat Evaluation

Generative AI Tools, Product Categorization & Content Review

Top Data Types

Image

Text

Document

Top Task Types

Data Collection

Text Summarization

Question Answering

Object Detection

Text Generation

Fine-tuning

Freelancer Overview

Graduate Petroleum Engineer with experience working on technical research, engineering data interpretation, and structured analytical workflows across petroleum and geoscience-related projects. My background includes well performance modelling, nodal analysis, reservoir evaluation, and production optimization using the IPM Suite (PROSPER, MBAL, GAP), alongside experience documenting technical findings and supporting multidisciplinary research activities during industrial training at the Nigerian Institute for Oceanography and Marine Research. In addition to my engineering background, I have completed training in data analytics and machine learning and have developed strong attention to detail, analytical thinking, and adaptability — skills that are highly relevant to AI training and data labeling workflows. I am comfortable working with structured data, technical documents, geospatial and research-related information, and I am eager to contribute to high-quality AI training projects while continuously learning and improving.

Labeling Experience

Industrial Training Intern – Nigerian Institute for Oceanography and Marine Research

OtherData Collection

Completed industrial training activities that involved collecting and analyzing subsurface and seabed observations for subsurface interpretation. Contributed to hydrographic surveys and sonar-based seabed observation work used as input for engineering research analysis. Worked in multidisciplinary teams while adapting to different technical environments during the internship period. • Conducted sediment core sampling and analysis for subsurface interpretation. • Participated in hydrographic surveys and sonar-based seabed observations. • Collaborated within multidisciplinary teams. • Supported technical data gathering for marine/subsurface studies.

2024 - 2025

Training Participant – AccreteEnergy

DocumentData Collection

Served as a training participant where well-performance data was modeled to support production optimization decisions. Performed nodal analysis and sensitivity studies to guide engineering interpretations from the generated datasets. Coordinated with peers to assess multiple well-performance scenarios and troubleshoot issues encountered during analysis. • Modeled well performance using PROSPER for production optimization. • Conducted nodal analysis and sensitivity studies. • Evaluated well-performance scenarios with peer collaboration. • Troubleshot analytical issues during scenario evaluation.

2025

Education

Work History