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Schedule Interview NowOgbonna P. AI, Python and Data Platforms
My name is Ogbonna P. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Python, Data Analysis, Microsoft Excel, Documentation, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Customer Churn Intelligence Analysis, Credit Facility and Loan Analysis, Medical Appointment Analysis, Sales Performance Intelligence Dashboard, Product Feature Performance Dashboard, etc.. I am based in Lagos, Nigeria. I've successfully completed 15 projects while developing at Softaims.
My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.
Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.
I’m committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.
Main technologies
AI, Python and Data Platforms
3 years
Machine Learning
2 Years
Python
2 Years
Data Analysis
2 Years
Additional skills
- Machine Learning
- Python
- Data Analysis
- Microsoft Excel
- Documentation
- Product Analytics
- Database Design
- Database Management
- Customer Insight Analysis
- Ecommerce
Direct hire
Potentially possible
Previous Company
Jumia
Experience Highlights
Customer Churn Intelligence Analysis
In this project, I developed a customer churn intelligence analysis system. It involved setting up SQL Server, analyzing customer data, and creating a Power BI dashboard. The dashboard provided insights into churn patterns, identified high-risk segments (e.g., female customers 40+, 3+ products, credit scores 600-700), and predicted churn probability. The outcome includes actionable recommendations for targeted retention campaigns, product optimization, and proactive engagement to reduce churn and drive business growth. Kindly explore this project in the attached PPT file link.
Credit Facility and Loan Analysis
This project focuses on identifying growth opportunities, optimizing channel strategies, and enhancing customer satisfaction for a credit facility provider. The analysis covers business performance, customer feedback, market research, and market data to provide actionable insights and recommendations.
Medical Appointment Analysis
I analyzed a dataset of 110k+ Brazilian patients (Apr–Ju 2016) to explore factors influencing a 20% no-show rate for medical appointments. Key findings: patients booking same-day appointments were less likely to miss them, showing a strong negative correlation with no-shows. Surprisingly, SMS reminders had a weak positive correlation with no-shows, suggesting those notified were slightly more likely to miss appointments. Young patients had higher no-show rates, while patients with multiple illnesses (e.g., diabetes, hypertension) were more likely to attend. Visualizations shows the patterns.
Sales Performance Intelligence Dashboard
A Nigerian boutique was drowning in scattered sales data—unable to track performance or make smart decisions. I built a real-time Power BI dashboard that: ✔ Tracks sales, profits & expenses ✔ Compares monthly performance ✔ Optimizes inventory & marketing spend Now, they track sales by category, ad spend ROI, and month-to-month trends, turning chaos into actionable insights. Result? Smarter pricing, leaner inventory, and 20% higher profits. Data shouldn’t paralyze—it should empower. Let’s build your profit-boosting dashboard today.
Product Feature Performance Dashboard
Tracking the customer support department performance in real-time is of utmost importance for business stakeholders to ensure that customer needs are attended to and and how quick they are resolved This is critical as businesses transition to customer-centric approach to have competitive advantage. The Key Points: 1. What is the average ticket resolution time? 2. What is the individual customer support agents' performance like? 3. What aspect of the software product is this issue arising from? 4. What are the most frequently occurring issues? 5.
Education
Federal University of Technology Owerri
Bachelor of Engineering (BEng) in Computer engineering
2015-01-01-2020-01-01
Languages
- English
Github