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O
Oluwanifemi O.

Oluwanifemi O.

PAGA GROUP | Software Engineer Intern (data inconsistency resolution and data integrity support)

United Kingdom flagLondon, United Kingdom

Key Skills

Software

Other
Don't disclose

Top Subject Matter

Data quality
session integrity
and data pipeline/analysis for proprietary systems

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Data CollectionData Collection

Freelancer Overview

PAGA GROUP | Software Engineer Intern (data inconsistency resolution and data integrity support). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Don't disclose. Education includes Bachelor of Science, University of Leicester (2027). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

CONVERTLY | Data Scientist (dataset preparation and model evaluation)

Other

Defined model evaluation frameworks to assess scoring accuracy and recommendation quality using real business engagement data. Prepared datasets suitable for model training by cleaning and analyzing raw performance inputs, including missing-value handling and metric normalization. Built processing and pipeline architecture in Python to support the optimization layer for recommendations. • Cleaned and analyzed social media performance data for training readiness. • Normalized engagement metrics and handled missing values. • Engineered Python model pipeline architecture for optimization intelligence. • Evaluated recommendation performance against engagement outcomes.

2025 - Present

PAGA GROUP | Software Engineer Intern (data inconsistency resolution and data integrity support)

OtherData CollectionData Collection

Engineered SQL logic and optimized stored procedures to resolve data inconsistencies and restore session integrity for a live user base. Built and used search/indexing workflows with OpenSearch to support root-cause investigation and backlog reduction. Managed data quality considerations as part of production engineering delivery. • Performed data cleaning and consistency restoration using complex SQL. • Optimized stored procedures for reliable session integrity. • Used Jira and OpenSearch in technical triage and analysis. • Supported Agile delivery tracking against KPIs and SLAs.

2025 - Present

INTO-THE-OPEN | Full Stack Engineer (AI-data pipeline engineering)

OtherData CollectionData Collection

Built and scaled a content prediction engine by translating business needs into a Node.js and TypeScript infrastructure. Implemented automated ingestion and sanitisation pipelines for high-dimensional datasets to create a reliable foundation for proprietary AI analysis. Coordinated development work within an engineering team to ship and optimize user-facing systems supported by data pipelines. • Developed content prediction engine infrastructure in Node.js/TypeScript. • Automated ingestion and sanitisation of high-dimensional datasets. • Re-engineered React user flows to improve UX and reduce friction. • Delivered a company website launch with measurable conversion impact.

2025 - 2026

SANTANDER UK | Technology Insight Intern (ESG strategy analysis)

Don't discloseData CollectionData Collection

Led a team project to analyze and present ESG impact strategies to senior stakeholders as part of an assessment challenge. The work required organizing and synthesizing information from the provided materials to form recommendations. Although not a direct data-labeling task, it demonstrates experience with structured analysis and preparation of insights. • Led a team of 5 for ESG strategy analysis. • Analyzed relevant information for impact strategy formulation. • Presented findings to senior stakeholders. • Achieved 2nd place in the challenge.

2025 - 2025

BRIGHT NETWORK | Technology Intern (technology consultancy simulation)

Don't discloseTextText

Completed a technology consultancy simulation that required analyzing a business case study and delivering a strategic pitch to industry professionals. While not an AI labeling role, the work involved structured interpretation of provided materials and presentation of conclusions based on the case. This supported practical skills relevant to data-driven analysis workflows. • Partnered in a focused team to analyze the case study. • Delivered a strategic pitch to industry professionals. • Produced and communicated insights from given study materials. • Earned professional certification through the simulation.

2024 - 2024

Education

U

University of Leicester

Bachelor of Science, Computer Science

Bachelor of Science
2023 - 2027

Work History

C

Convertly

Data Scientist

London
2026 - Present
P

Paga Group

Software Engineer Intern

London
2025 - Present