Ifeatu L.

Key Skills

Software

Other

Top Subject Matter

Sales

Operations

Ecommerce

Top Data Types

Text

Image

Video

Top Task Types

Data Collection

Freelancer Overview

Data Analysis Internship, HNG tech.. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Power BI. Education includes Bachelor of Science, N/A and Data Analysis Course, New Horizon (2025). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Computer Programming, Coding, and Data Collection.

Labeling Experience

Data Analysis Internship, HNG tech.

Data Collection

Collaborated with an intern team to analyze a large historical football match dataset spanning 1872–2025. Supported data cleaning and feature engineering while generating insights for an interactive Power BI dashboard. Contributed to preparation and interpretation work needed to make the dataset analytics-ready for visualization and product-style delivery.• Assisted with data cleaning across a large multi-year match dataset • Supported feature engineering to enable meaningful analytics • Generated insights used in an interactive Power BI dashboard • Worked as part of a team to deliver consolidated analytical outputs

2025

Data Analysis Internship, HNG tech.

TextData Collection

Conducted an SEO and keyword analytics study for Nigerian consumer banking by building a dataset from scratch. Analyzed search visibility and ranking patterns to determine SEO dominance. Developed Power BI dashboards to communicate findings and support data-driven conclusions.• Built datasets from scratch for SEO keyword analytics • Analyzed search visibility and ranking patterns • Created a Power BI dashboard to identify SEO dominance • Interpreted results to support insights into SEO performance

2025

Data Analysis Internship, HNG tech.

Other

Worked on an ML feature engineering and exploratory analysis project using the MovieLens dataset to prepare data for recommendation-system modeling. Focused on cleaning the dataset, generating new features, and producing analysis outputs with Python. Delivered a technical write-up intended to support future recommendation-system usage and evaluation.• Cleaned datasets and performed exploratory analysis to support downstream model training • Engineered new features for improved recommendation signals • Generated insights from processed data and documented methodology • Produced a technical report for future recommendation-system development

2025

Education

Work History