Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 1


Product Manager, Cyberfleet (Lagos, NGA – Remote)	  				 		                 		
•	Used the RICE model for design and development of B2C applications by prioritizing sprints, shortening time and operation cost by 25%
•	Conducted in-depth market analyses of products & developed strategies to present insights to stakeholders, resulting in a cost saving of $5K in Q3 of 22
•	Product specialist of the B2C experience of the educational platform's landing page, course, chat system and scholarship dashboard (PC/Mobile)
•	Defined user research, problem scope, class diagram, use cases and evaluated KPI metrics by working directly with engineering, design, and business teams to build an effective Product Requirements Document and workflow across diverse teams
•	Implemented A/B testing to improve UI/UX of several products, increasing on average user conversion by 40%
Research Data Analyst, National Space Research & Development Agency (Abuja, NGA)	       
•	Collected, processed and analyzed raw large datasets from sources NigeriaSAT-2, Nigeria SAT-X, Copernicus Sentinel imageries for research purposes
IT Support, Galaxy Backbone (Abuja, NGA)
•	Solved 15+ customer complaints daily using Service Desk to shorten the time of resolution and drive satisfaction rate by 15% and 55% respectively

PROJECTS 
Travel North Transport | 
•	Developed a database (DB) from the scenario, normalized the logical relational mapping to 3NF as requested by the stakeholder and populated the tables with relevant data for quality assurance test. Implemented object-relational mapping and NoSQL to show the benefits in the existing RDBMS and prepared a report highlighting the ethical, law and security issues in a DB and provided recommendations
Crime Analysis |
•	Analyzed 12+ years of cases reported by the police using PySpark to develop a script that execute statistical analysis to determine if violent crimes increase using the time series model to evaluate patterns over the years and Matplotlib to visualize and conduct multivariate analysis to identify if a relationship exist between drug offences and firearm incidents to prevent future occurrences
Credit Risk Prediction |
•	Conducted comparative analysis by using classification techniques lasso, logistic regression, decision tree, neural network and random forest to train the model and determine the suitable model for accurately predicting credit worthy profiles to reduce bad debt outcomes.