About

Learn more about me

Data Analyst & BI Analyst

I'm a Data Analyst and Business Intelligence Analyst with an MBA and a passion for transforming raw data into meaningful business insights.

My experience spans technology, nonprofit, and faith-based environments, where I've worked with large datasets to uncover trends, automate reporting, improve data quality, and support strategic decision-making. Whether I'm building a dashboard in Power BI, developing an ETL pipeline in Python, or analyzing customer behavior using SQL, my focus remains the same: turning data into actions that drive measurable results.

I've developed automated reporting systems, churn prediction models, operational dashboards, and revenue reconciliation solutions that have helped organizations improve efficiency, identify opportunities, and make better decisions.

Beyond technical skills, I bring a strong business mindset. My MBA background allows me to bridge the gap between data and strategy, ensuring that every analysis answers a business question and every dashboard serves a purpose.

I believe the value of analytics isn't in the numbers themselves; it's in helping people make confident, informed decisions.

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