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I am Godlyseed Uzoma, an Applied Data Analyst who designs decision-driven analytics and ML-enabled workflows in consulting and SaaS environments. I excel at translating ambiguous business risk into measurable data signals, building predictive models, and supporting revenue-critical decisions across supply chain, go-to-market, and operations. Off the clock, I thrive in collaborative, Agile teams and enjoy turning complex questions into clear, actionable insights. My ongoing MSc in Business Analytics at Nova SBE fuels my curiosity, and I enjoy delivering analytics that matter—from automated reporting to AI-assisted decision designs.…I am Godlyseed Uzoma, an Applied Data Analyst who designs decision-driven analytics and ML-enabled workflows in consulting and SaaS environments. I excel at translating ambiguous business risk into measurable data signals, building predictive models, and supporting revenue-critical decisions across supply chain, go-to-market, and operations. Off the clock, I thrive in collaborative, Agile teams and enjoy turning complex questions into clear, actionable insights. My ongoing MSc in Business Analytics at Nova SBE fuels my curiosity, and I enjoy delivering analytics that matter—from automated reporting to AI-assisted decision designs.

GODLYSEED UZOMA

Data Analyst, Data Scientist, AI Engineer, +2

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I am Godlyseed Uzoma, an Applied Data Analyst who designs decision-driven analytics and ML-enabled workflows in consulting and SaaS environments. I excel at translating ambiguous business risk into measurable data signals, building predictive models, and supporting revenue-critical decisions across supply chain, go-to-market, and operations. Off the clock, I thrive in collaborative, Agile teams and enjoy turning complex questions into clear, actionable insights. My ongoing MSc in Business Analytics at Nova SBE fuels my curiosity, and I enjoy delivering analytics that matter—from automated reporting to AI-assisted decision designs.…I am Godlyseed Uzoma, an Applied Data Analyst who designs decision-driven analytics and ML-enabled workflows in consulting and SaaS environments. I excel at translating ambiguous business risk into measurable data signals, building predictive models, and supporting revenue-critical decisions across supply chain, go-to-market, and operations. Off the clock, I thrive in collaborative, Agile teams and enjoy turning complex questions into clear, actionable insights. My ongoing MSc in Business Analytics at Nova SBE fuels my curiosity, and I enjoy delivering analytics that matter—from automated reporting to AI-assisted decision designs.

Available to hire

I am Godlyseed Uzoma, an Applied Data Analyst who designs decision-driven analytics and ML-enabled workflows in consulting and SaaS environments. I excel at translating ambiguous business risk into measurable data signals, building predictive models, and supporting revenue-critical decisions across supply chain, go-to-market, and operations.

Off the clock, I thrive in collaborative, Agile teams and enjoy turning complex questions into clear, actionable insights. My ongoing MSc in Business Analytics at Nova SBE fuels my curiosity, and I enjoy delivering analytics that matter—from automated reporting to AI-assisted decision designs.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Working Student, Data & AI at Efficio Consulting (AI Factory)

August 1, 2025 - Present

Designed AI-enabled sourcing and pricing workflows using Python and SQL, supporting procurement decisions with direct cost and risk implications. Built and evaluated LLM-based automation for supplier analysis, reducing manual decision time and improving pricing consistency. Partnered with consultants and engineers in Agile delivery to embed analytics into operational decision processes across supply chain teams.

Strategic Market & Intelligence Analyst at Xdroid Analytics

September 1, 2025 - Present

Built market intelligence and predictive dashboards to support customer risk assessment, forecasting accuracy, and competitive positioning decisions. Translated commercial and go-to-market questions into structured analytical outputs used by leadership teams. Defined metrics and documentation to align analytics outputs with decision timing and revenue impact.

Strategy Analyst at Royal Farms Ltd.

July 1, 2023 - November 30, 2024

Automated operational and financial reporting using Excel and Power BI, reducing preparation time by 30 percent and improving cost and revenue visibility. Conducted variance and performance analysis to identify efficiency gaps and support management decision-making. Worked directly with stakeholders to align data outputs with operational priorities.