Oluyemisi O.

Key Skills

Software

No software listed

Top Subject Matter

Business analytics and predictive modeling (customer churn, sales forecasting)

Business requirements documentation and customer/campaign performance analysis

Top Data Types

Text

Video

Image

Top Task Types

Text Generation

Transcription

Question Answering

Freelancer Overview

Data Analyst at Quantum Analytics (UK) focusing on analytics preparation, reporting automation, and dataset readiness fo. Brings 16+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Tableau, Power BI, and Microsoft Excel. Education includes Master of Science, University of Hertfordshire (2023) and Bachelor of Science, University of Lagos (2011). AI-training focus includes data types such as Document and labeling workflows including Data Collection.

Labeling Experience

Data Analyst at Quantum Analytics (UK) focusing on analytics preparation, reporting automation, and dataset readiness for modeling and experimentation

DocumentData Collection

Analyzed large datasets and produced data-driven insights to support reporting and business decision-making, which involved preparing and organizing data for downstream use. Created and automated management and stakeholder reporting outputs, ensuring data quality for consistent interpretation. Supported predictive modeling work such as customer churn and sales forecasting by preparing input datasets for analysis. • Automated and maintained reporting datasets and KPI-related summaries • Prepared data for dashboard visualization and stakeholder consumption • Performed A/B testing analysis to evaluate business initiatives • Communicated results to non-technical stakeholders to guide actions

2022 - Present

Business Analyst at Laposh Multibiz Concepts working with structured requirement documents and KPI-oriented customer/campaign data preparation

DocumentData Collection

Collected and documented business requirements, process information, and KPI reporting artifacts used to guide operational design and implementation. Liaised with product and business solutions teams to support elicitation and analysis of functional and non-functional requirements across stakeholders. Analyzed large volumes of customer and campaign performance data to identify improvement opportunities for advertising initiatives. • Drafted requirements and design documentation with stakeholder sign-off • Produced and communicated KPI reports and business benefits realization materials • Analyzed customer data and campaign performance to inform improvements • Supported design and implementation through the product lifecycle

2016 - 2022

Education

Work History