About

Learn more about me

Data Analyst & BI Analyst

I'm a Data & BI Analyst with an MBA, specializing in turning complex datasets into clear, actionable business decisions. I don’t just analyze data - I connect it directly to outcomes that matter.

I’ve built a churn prediction model with 75% accuracy and translated it into a Tableau dashboard that helped sales teams identify at-risk customers in real time. I’ve also automated a revenue reconciliation system, reducing manual work and uncovering lost revenue opportunities.

My work spans SQL, Python, Power BI, and Tableau across domains like healthcare analytics, supply chain optimization, and sales performance. From correlating air quality with hospital admissions in Lagos to tracking subsidy efficiency across Nigeria, I focus on solving real-world problems with data.

What sets me apart is how I think: I simplify complexity. Every analysis, dashboard, or model I build is designed to help stakeholders make faster, better decisions - not just understand data, but act on it.

My Skillset

Data Analysis & Visualization
  • Tools: SQL, Python, Power BI, Tableau, Excel, Google Sheets
  • Focus: Turning messy datasets into dashboards people actually use
Database & ETL
  • Tools: MySQL, PostgreSQL, MSSQL
  • Focus: Building pipelines that automate the boring stuff
Python & Machine Learning
  • Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
  • Focus: Predictive models and automation that solve real problems
Business Impact
  • Strengths: Translating technical analysis into strategic action
  • Background: MBA + Top 1% data storytelling cohort

Projects

My Works

Revenue Reconciliation & Data Quality System

Identified SaaS revenue leakage through automated reconciliation system matching user access against billing records

Customer Churn Analysis & Prediction

Built ML model predicting customer churn at 75% accuracy, identified top 5 retention drivers through feature importance analysis

Automated ETL Pipeline & Reporting System

Cut data prep time by 98% with automated ETL pipeline connecting Python to Google Sheets, reduced reporting errors by 90%

SQL Database Design

Designed normalized database schema with optimized queries, implemented data integrity constraints for airline booking system

SaaS Business Health Dashboard

Analyzed 27 months of SaaS data to decode $42K → $594K MRR growth, identified Enterprise as 41% of revenue at 0% churn, and delivered a 90-day investment roadmap

Healthcare Analytics

Built an interactive healthcare analytics dashboard providing real-time visibility into patient outcomes, diagnostic trends, and treatment costs

More Projects on GitHub

Contact

Let's Move The Needle

Location & Availability

Location: Nigeria (GMT+1)
Working Hours: 9:00 AM – 6:00 PM EST

Social Profiles

Email Me

obichinyere87@gmail.com

Call Me

+234-703-104-8544