Paul O.

Key Skills

Software

Appen

Data Annotation Tech

Clickworker

Top Subject Matter

Business analytics and consulting datasets

Academic and administrative data analytics

Healthcare (breast cancer prediction)

Top Data Types

Image

Text

Video

Top Task Types

Data Collection

Question Answering

Fine-tuning

Transcription

Text Summarization

Text Generation

Classification

Segmentation

Freelancer Overview

I am a Data Analyst with 4+ years of experience in data labeling, data annotation, data collection, and structured dataset preparation for analytics and AI-related workflows. I specialize in cleaning, validating, and organizing datasets to ensure accuracy, consistency, and high-quality training data for machine learning models. I have experience handling structured and unstructured data, including text and computer code, with a focus on correct classification, tagging, and quality assurance. I am proficient in Excel, Power BI, and Tableau for data processing, validation, and reporting support. I bring strong attention to detail, dataset quality control skills, and hands-on experience in producing reliable, well-structured data for AI model training and evaluation.

Labeling Experience

Data Analyst (Hybrid) — Tmkg Consulting

Data Collection

Performed end-to-end analytics work that supports data labeling and dataset preparation through cleaning, validation, and maintenance of datasets for correctness and integrity. Conducted exploratory data analysis to identify trends and patterns that inform what data should be curated or refined. Translated business questions into analytical requirements and delivered reporting outputs for internal and client stakeholders. • Data cleaning, validation, and dataset governance tasks • Exploratory data analysis to derive insights from prepared data • SQL-based extraction and transformation for dataset readiness • Dashboard/report development with Power BI/Tableau/Excel for stakeholders

2025 - Present

On-chain Analytics Projects (Dune Analytics)

Performed blockchain on-chain analytics by writing DuneSQL queries to aggregate and analyze protocol/user behavior metrics. Used SQL-driven dashboard workflows to structure query outputs into analysis-ready tables for visualization. Focused on extracting meaningful blockchain statistics from multiple networks and producing analysis dashboards. • DuneSQL query development for swap/user behavior analytics • Protocol metric aggregation for Raydium and Near • On-chain dashboard preparation for visualization and reporting • Iterative analysis using published query links

2025 - 2025

Market Sales Analysis Project (Machine Learning)

Developed a supervised machine learning forecasting pipeline to predict future sales from historical market data. Performed preprocessing including handling missing values, standardizing data, and generating time-based features used for model training. Conducted exploratory data analysis to find demand drivers and engineered lag/rolling/holiday/promotional features to improve prediction accuracy. • Preprocessing and feature engineering for supervised forecasting • EDA for seasonal patterns and key drivers • Trained and compared regression/ML models (Linear Regression, RF, XGBoost) • Evaluated with MAE, RMSE, and R² and produced forecast visualizations

2025 - 2025

Breast Cancer Prediction Project (Machine Learning)

Built and evaluated machine learning models for a medical classification task using labeled diagnostic outcomes (benign vs malignant). Performed data cleaning and preprocessing steps such as handling missing values, standardizing features, and encoding categorical fields to create model-ready datasets. Conducted exploratory data analysis and implemented multiple classification algorithms with hyperparameter tuning and cross-validation. • Preprocessing for supervised learning from patient records • EDA to identify key predictors and visualize correlations • Trained Logistic Regression, Random Forest, and SVM models • Evaluated with metrics/plots including confusion matrices and ROC curves

2025 - 2025

Data Analyst (Remote) — Vephla Academy

Data Collection

Collected, cleaned, and maintained large academic and administrative datasets to improve data accuracy and integrity. Designed and deployed interactive dashboards and reports to enable real-time decision-making using the processed datasets. Wrote and optimized SQL queries to extract and transform data for reporting workflows. • Dataset cleaning and maintenance with measurable accuracy gains • Power BI/Tableau dashboard and report development for operational planning • SQL query writing and optimization to reduce reporting time • Trend/pattern analysis to support research and allocation decisions

2022 - 2025

Education

Work History