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P

Purpose Oluwadahunsi

Data Annotation Intern, Programify

Nigeria flagN/A, Nigeria
Intermediate

Key Skills

Software

No software listed

Top Subject Matter

Data Science/Machine Learning
Education/Innovation Technology
Real Estate

Top Data Types

ImageImage

Top Task Types

ClassificationClassification

Freelancer Overview

Data Annotation Intern, Programify. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Python and Excel. Education includes Bachelor of Science, Olabisi Onabanjo University (2027). AI-training focus includes data types such as Tabular and labeling workflows including Classification.

Intermediate

Labeling Experience

Data Labeling & Annotation (Personal/Academic ML Projects)

Classification
I contributed to several personal and academic machine learning projects that required data labeling and preparation. My role included structuring, cleaning, and annotating tabular datasets as a precursor to building regression and classification models. I also evaluated the consistency and utility of labeled data in predictive modeling. • Built models like Housing Price Prediction and Car Price Prediction involving hands-on data annotation. • Applied supervised learning techniques after preparing and labeling data. • Used Python, pandas, and scikit-learn for all annotation and modeling tasks. • Ensured datasets met quality requirements for model training and testing.

I contributed to several personal and academic machine learning projects that required data labeling and preparation. My role included structuring, cleaning, and annotating tabular datasets as a precursor to building regression and classification models. I also evaluated the consistency and utility of labeled data in predictive modeling. • Built models like Housing Price Prediction and Car Price Prediction involving hands-on data annotation. • Applied supervised learning techniques after preparing and labeling data. • Used Python, pandas, and scikit-learn for all annotation and modeling tasks. • Ensured datasets met quality requirements for model training and testing.

2024 - Present

Data Cleaning & Annotation Intern, Lagos State Science and Innovation Technology

Classification
At Lagos State Science and Innovation Technology, I cleaned and organized datasets for reporting and analysis. This involved preparing, annotating, and structuring data within Excel and Python to support team projects. I assisted with classifying and labeling data for various documentation and reporting tasks. • Processed and labeled rows of educational or government data. • Applied classification tags and organized data fields for database use. • Assisted staff with basic annotation and data preparation. • Used Excel and Python to structure data for downstream analysis.

At Lagos State Science and Innovation Technology, I cleaned and organized datasets for reporting and analysis. This involved preparing, annotating, and structuring data within Excel and Python to support team projects. I assisted with classifying and labeling data for various documentation and reporting tasks. • Processed and labeled rows of educational or government data. • Applied classification tags and organized data fields for database use. • Assisted staff with basic annotation and data preparation. • Used Excel and Python to structure data for downstream analysis.

2025 - 2025

Data Annotation Intern, Programify

Classification
During my internship at Programify, I worked on cleaning and analyzing datasets to prepare them for machine learning model training. I explored the data, created features, and labeled data as part of the experimentation and model building process. My experience included performing practical data annotation for supervised models. • Cleaned and labeled structured tabular data sets for model input. • Evaluated dataset quality before and after labeling tasks. • Applied classification labels based on outcome categories for regression and classification tasks. • Collaborated with team members to maintain consistent annotation standards.

During my internship at Programify, I worked on cleaning and analyzing datasets to prepare them for machine learning model training. I explored the data, created features, and labeled data as part of the experimentation and model building process. My experience included performing practical data annotation for supervised models. • Cleaned and labeled structured tabular data sets for model input. • Evaluated dataset quality before and after labeling tasks. • Applied classification labels based on outcome categories for regression and classification tasks. • Collaborated with team members to maintain consistent annotation standards.

2025 - 2025

Education

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Olabisi Onabanjo University

Bachelor of Science, Computer Science

Bachelor of Science
2023 - 2027

Work History

D

DataGlobal Hub

Ambassador

Phoenix
2025 - Present
D

Data Science Nigeria

Community Member

N/A
2025 - Present