I'm a results-oriented Business Analyst with hands-on experience translating business requirements into data-driven insights that support strategic decision-making.…

Lucky Justice Nelson

I'm a results-oriented Business Analyst with hands-on experience translating business requirements into data-driven insights that support strategic decision-making.…

Available to hire

I’m a results-oriented Business Analyst with hands-on experience translating business requirements into data-driven insights that support strategic decision-making.

Skills

Experience Level

Power BI
Expert
Microsoft Excel
Expert
Python
Expert
SQL
Expert
Data Visualization
Expert
Tableau
Expert
ETL
Intermediate
GitHub
Intermediate
GitHub Copilot
Intermediate

Work Experience

Data Analyst Intern at SaiKet Systems
July 1, 2025 - August 1, 2025
Completed a Customer Churn Analysis project using the Telco dataset; built and published 4 interactive dashboards in Power BI (Churn Rate Overview, Customer Demographics, Customer Tenure Analysis, Churn Analysis); performed data cleaning and preparation in Power BI (handled null values, converted TotalCharges, created tenure groups); generated actionable insights and recommendations to support customer retention strategies.
Business Analyst Intern (Data Visualization) at Excelerate (Saint Louis University Partnership)
December 1, 2025 - January 1, 2026
Conducted analysis of 37,881 outreach attempts to identify conversion bottlenecks and discovered a 12.35% conversion rate with significant drop-offs at key decision points. Co-developed an interactive Tableau dashboard for senior enrollment leadership, improving visibility into campaign performance. Identified outreach timing inefficiencies and recommended a strategic shift to improve ROI. Applied statistical modeling to demonstrate diminishing returns on repeated contact attempts, proposing focus on first-contact quality. Led data quality assessment across global conversion fields and proposed validation protocols to ensure reporting accuracy.
Data Analyst Intern at Codveda Technologies
August 1, 2025 - September 1, 2025
Developed a predictive churn model using Python (Pandas, NumPy) and linear regression, achieving 85% accuracy in identifying at-risk customer segments. Designed Power BI dashboards to visualize customer behavior patterns and churn risk indicators. Improved data preparation efficiency by 30% through process optimization, reducing analysis turnaround time. Collaborated with cross-functional data teams to standardize methodologies and ensure consistency in reporting across departments.
Business Analyst Intern at FintechLend
June 1, 2025 - June 1, 2025
Evaluated customer behavior metrics, marketing campaign effectiveness, and loan risk indicators to identify opportunities for business growth and risk mitigation. Designed and deployed Power BI dashboards to systematically track KPIs across customer acquisition, engagement, and loan performance. Synthesized analytical findings into executive presentations that informed strategic decision-making and supported customer engagement initiatives. Collaborated across remote teams to align on business objectives and ensure analytical outputs addressed key stakeholder needs.

Education

Bachelor of Agriculture (Agricultural Economics) at University of Abuja
January 11, 2030 - February 17, 2026

Qualifications

B. Agriculture (Agricultural Economics)
January 11, 2030 - January 1, 2023
Excel 365 Certification (Beginner – Advanced)
January 11, 2030 - December 25, 2025
Data Analysis and Action Planning
January 11, 2030 - December 25, 2025
Choosing Data Collection Methods
January 11, 2030 - December 25, 2025
SQL and Relational Databases 101
January 11, 2030 - December 25, 2025
Data Analysis with Python – IBM
January 11, 2030 - February 17, 2026
Microsoft Excel 365 (Beginner to Advanced)
January 11, 2030 - February 17, 2026
Data Analyst Intern Certification – Saiket Systems
January 11, 2030 - February 17, 2026
Data Analyst Intern Certification – Codveda Technologies
January 11, 2030 - February 17, 2026
Data Visualization Trainee – Excelerate (Saint Louis University Partnership)
January 11, 2030 - February 17, 2026

Industry Experience

Software & Internet, Financial Services, Professional Services, Media & Entertainment, Other, Education
    uniE621 E-Commerce Analytic
    This four-dashboard Power BI solution provides a strategic view of e-commerce performance, moving from overall health down to tactical risk assessment. The dashboard structure is built on four pillars: Executive Overview Loyalty Deep Dive & Time to Repeat Product & Channel Profitability Pricing, Discounts & Risk My Top Strategic Insights: Retention is Key: The high Loyal Customer Lifetime Value (LTV) confirms that efforts focused on retaining established customers yield the highest financial return. Actionable Window: Our analysis identified the Average Days to Second Purchase (46 days) as the critical intervention period to turn new customers into loyal ones. Risk Mitigation: Revenue concentration in our top channel(45.30%) and category(15.14%) highlighting a key exposure risk that requires immediate diversification efforts. Optimizing Spend By tracking the Discount to Loyal %,we can strategically reallocate promotional budgets to better support retention and maximize margin integrity.…
    paper Product Performance & Feature Impact Analysis (Telecom Customer Dataset)

    Business question:
    Which product features truly influence customer retention, churn, and value — and how does customer feedback explain these outcomes?

    Dataset overview

    The dataset includes:
    • Customer tenure, contract type, and charges
    • Product and service feature usage
    • Churn status
    • Customer feedback converted into sentiment (Positive, Neutral, Negative)

    This allowed me to analyze:
    1. Feature adoption and product performance
    2. Churn and customer risk patterns
    3. Customer feedback and sentiment insights

    Key insights

    1. Product & Features
      • Customers using more features tend to churn less and generate higher value.
      • Support and security features (Tech Support, Online Security, Device Protection) drive stronger retention than entertainment features.
      • Some revenue-related features still have low adoption.

    Business implication
    Not all features create equal value. Reliability and support matter more than optional add-ons.

    1. Churn & Risk
      • Churn is highest among new customers and month-to-month contracts.
      • High-risk customers typically have low feature usage, higher charges, and neutral or negative sentiment.

    Business implication
    Churn is predictable and concentrated, especially early in the customer lifecycle.

    1. Customer Feedback(Voice)
      • Negative sentiment customers churn at significantly higher rates.
      • Common issues relate to service quality, internet reliability, and billing.

    Business implication
    Customer sentiment acts as an early warning signal, not just a historical metric.

    Business recommendations
    • Prioritize high-impact support and security features
    • Improve early customer onboarding to increase feature adoption
    • Use sentiment as an early warning signal for churn prevention.

    This project demonstrates how product metrics, financial impact, churn behavior, and customer voice can be combined to support data-driven product and business decisions.

    🔗 View the interactive Power BI dashboard:
    https://www.twine.net/signin