CCF

CHUKWUDOLUE C. FAVOUR

Data Analyst

https://www.opentalent.in/chukwudolue-c-favour

Data Analyst with less than a year in biostatistics and research data analysis, skilled in SQL, Powe

Key Strengths

Strong foundation in data analysis tools including SQL, PostgreSQL, Microsoft Excel, Power BI, and DAX.
Demonstrated ability to perform various analytical methods such as Root Cause Analysis, Customer Segmentation, Churn Analysis, and Trend Analysis.
Experience in designing and building interactive dashboards for KPI monitoring and operational decision-making.
Proven ability to translate raw data into actionable business insights across diverse domains (airline operations, telecom, sales, healthcare, customer analytics).
Good understanding of business skills like Stakeholder Communication, Business Intelligence Reporting, and Problem Solving.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project diversity, covering airline operations, telecom, sales, healthcare, and customer analytics, indicates a broad interest and adaptability, which aligns well with dynamic team environments. The focus on delivering actionable insights and building decision-ready reporting suggests a results-oriented mindset. The academic background in Physiology with relevant coursework in Biostatistics and Research Methodology provides a unique perspective on data analysis, potentially fostering innovative approaches.

Soft Skills & Operational Fit

The candidate demonstrates strong problem-solving skills and a self-driven approach to uncovering trends. The project descriptions highlight an ability to communicate insights effectively to stakeholders, which is crucial for a Data Analyst role. The diverse project portfolio suggests adaptability and a willingness to tackle different business challenges.

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About

Entry-level Data Analyst with a strong foundation in biostatistics and research data analysis from a B.Sc. in Physiology - a background that developed early habits of working with complex, real-world data. Skilled in SQL, Power BI, and Excel, with a sharp, self-driven approach to uncovering trends and building decision-ready reporting. Demonstrated ability to translate raw data into actionable business insights across business, financial, and operational contexts.

Top Skills

SQLDAXMicrosoft ExcelPower BIPython

Projects

Airline Operations & Delay Analysis Dashboard

January 1, 2026 – June 1, 2026

Processed approximately 2 million flight records to surface a 37.3% on-time performance rate and 42.2-minute average arrival delay across major U.S. airlines. Identified Late Aircraft Delay as the single largest disruption driver through comparative analysis of delay categories, airline performance, and seasonal trends. Built a multi-page executive dashboard enabling KPI monitoring, trend tracking, and airline benchmarking for operational decision-making.

Telecom Customer Churn Analysis

January 1, 2026 – June 1, 2026

Analyzed 7,043 customer records across 21 variables to quantify a 26.54% overall churn rate and isolate its primary drivers. Revealed that month-to-month contracts and electronic check payment users represented the highest-risk churn segments, enabling targeted retention focus. Delivered segmented retention recommendations identifying new customers (< 12 months tenure) as the critical intervention window.

Sales Performance & Revenue Analysis

January 1, 2026 – June 1, 2026

Evaluated 1,000 sales transactions totaling #456,000 in revenue to identify category, regional, and seasonal performance patterns. Found Electronics as the top revenue-generating category (156,905) while Clothing led in volume (894 units) — informing inventory and marketing prioritization. Designed an interactive dashboard tracking revenue trends, category performance, and regional comparisons to support business planning.

Healthcare Readmissions Analysis

January 1, 2025 – December 31, 2025

Analyzed 25,000 patient records to identify 11,754 readmissions (47% rate), flagging patients aged 50–80 with Circulatory conditions as the highest-risk segment. Surfaced clinical and demographic indicators driving readmission risk, providing a data foundation for targeted intervention planning. Built an interactive dashboard consolidating readmission trends, demographics, length-of-stay data, and clinical indicators for risk assessment.

Customer Analytics & Segmentation Dashboard

January 1, 2025 – December 31, 2025

Processed 100,000+ customer records with a combined purchase value of approximately $963.5M to support loyalty and marketing strategy. Identified the Regular loyalty segment as the largest cohort at 60.14% through structured segmentation analysis across income, education, and product preference dimensions. Consolidated customer KPIs into an interactive dashboard enabling leadership to monitor loyalty composition, income profiles, and product trends in one view.

Key Strengths

Strong foundation in data analysis tools including SQL, PostgreSQL, Microsoft Excel, Power BI, and DAX.
Demonstrated ability to perform various analytical methods such as Root Cause Analysis, Customer Segmentation, Churn Analysis, and Trend Analysis.
Experience in designing and building interactive dashboards for KPI monitoring and operational decision-making.
Proven ability to translate raw data into actionable business insights across diverse domains (airline operations, telecom, sales, healthcare, customer analytics).
Good understanding of business skills like Stakeholder Communication, Business Intelligence Reporting, and Problem Solving.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

CHUKWUDOLUE C. FAVOUR

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Cultural & Operational Fit