Hi, I'm Bassey Elisha
Transforming data into insights, and insights into intelligent systems. I bridge the gap between business intelligence and production ML deployment.
From Geology to Data Science
A unique journey of analytical problem-solving
I started my career analyzing rock formations and seismic data as a Geologist. Today, I analyze business data and build predictive models as a Data Analyst & ML Engineer.
This transition was not just a career change, it was a natural evolution. Both fields demand the same core competencies: pattern recognition, data interpretation, and evidence-based decision making.
What sets me apart? I am not just a Data Analyst who creates reports. I am a Data Analyst who can build and deploy Machine Learning solutions. From MIS reporting and KPI dashboards to production-ready ML APIs containerized with Docker, I bridge the gap between business intelligence and scalable data products.
B.Sc. Geology (Honors)
Prince Audu Abubakar University, 2021
3+ Years Experience
Data Analysis, MIS & ML Deployment
Production ML Systems
FastAPI + Docker Deployment
B.Sc. Geology
Foundation in data analysis & research
GIS Analyst (NYSC)
Geospatial data & reporting
Data Analyst @ RespecTECH
MIS reporting & Power BI dashboards
Product & Data Analyst
ML deployment & data products
What I Bring to the Table
Data → Insight
Transform raw, messy data into clean, actionable insights. Expert in SQL, Python, and Excel for deep data analysis.
Insight → Decision
Create compelling visualizations and dashboards that drive business decisions. MIS reporting and KPI tracking specialist.
Decision → System
Go beyond analysis. Deploy ML models as production APIs using FastAPI and Docker. Build scalable data products.
Skills & Technologies
Data Analysis
Data Visualization
Machine Learning
SpecialtyTools & Platforms
Featured Projects
Real-world solutions across Data Analytics and Machine Learning
Sales Pipeline Prediction API
The Solution : Sales Pipeline Prediction API A production-grade machine learning system that transforms sales operations from reactive to proactive through real-time deal outcome prediction and risk assessment. What It Does The API analyzes active pipeline deals and predicts their probability of being won or lost with 72.8% accuracy, enabling sales leadership to: Prioritize High-Risk Deals: Identify deals at risk of loss before they fail, allowing proactive intervention Forecast Revenue with Confidence: Aggregate predictions across the pipeline to forecast quarter-end revenue Benchmark Team Performance: Quantify which agents, sectors, and products drive success Allocate Resources Strategically: Focus coaching, support, and resources where they'll have maximum impact
Developer Survey Analysis
Overview This project explores the relationship between AI tool usage, developer seniority, experience level, and salary trends using real-world developer survey data. The goal of this project is to answer an important industry question: Do developers who use AI tools earn more, or are senior developers simply more likely to use AI tools?
Customer Churn Prediction
A machine learning web service that predicts whether a telecom customer is likely to churn based on behavioral and contract-related features. Built using FastAPI, scikit-learn, and DictVectorizer, and deployed as a RESTful API with interactive documentation.
Inventory Reporting & Stock Analysis
Supply chain analytics analyzing inventory logs to track stock movements, detect stockouts, and monitor manual adjustments. Used SQL CTEs and window functions for data cleaning, with interactive Power BI dashboards for real-time visibility.
Customer Retention & Performance Dashboard
Analyzed customer and transaction data to monitor engagement and retention trends. Developed comprehensive dashboards tracking KPIs like customer activity, retention rate, and performance metrics to support business retention strategies.
HR Performance & Attrition Reporting
Built structured MIS reports to monitor employee performance and attrition trends. Used Excel Pivot Tables and advanced formulas to generate recurring reports, identifying key factors influencing workforce turnover.
Emergency Room Operations Analysis
Analyzed high-volume operational data to identify peak activity periods and performance bottlenecks. Created dashboards monitoring service efficiency metrics such as wait times and patient throughput to optimize ER operations.
Financial Reporting Dashboard
Developed comprehensive financial reports tracking revenue trends, regional performance, and profit metrics. Used Excel dashboards with advanced visualizations to present key financial insights in a clear, actionable format.
Work Experience
Product & Data Analyst
Creatorum (Startup - MVP Stage)Data Analyst (Intern)
RespecTECHVirtual Intern – Controllers Division
Goldman Sachs (via Forage)GIS Analyst (NYSC)
National Centre for Remote SensingCertifications
Controllers Job Simulation
Goldman Sachs (Forage)Data Analytics Essentials
CiscoData Analytics Full Course
SelarLet's Work Together
Have a project in mind? Let's discuss how I can help.
Contact Information
I am currently open to new opportunities in Data Analytics, Business Intelligence, and Machine Learning Engineering roles.