Marvine Mabiya Ekina

ALX AFRICA

DATA SCIENCE CERTIFICATE · Data Science

August 1, 2025 – Present

University of Cassino and Southern Lazio

MASTERS DEGREE IN ECONOMICS · Economics

August 1, 2025 – June 30, 2025

CISCO

DATA ANALYTICS COURSE · Data Analytics

August 1, 2024 – June 30, 2025

ICT Authority Of Kenya

DATA ANALYTICS TRAINING · Data Analytics

August 1, 2023 – June 30, 2023

Kirinyaga University

BACHELOR OF SCIENCE IN STATISTICS · Statistics

August 1, 2017 – June 30, 2022

JACARANDA MATERNITY HOSPITAL

DATA & PERFORMANCE ANALYST

October 8, 2024 – Present

Nairobi, Nairobi, Kenya

AMPERSAND E MOBILITY

DATA ANALYST

February 12, 2024 – October 4, 2024

Nairobi, Nairobi, Kenya

GEOTHERMAL DEVELOPMENT COMPANY

STATISTICIAN INTERN

May 12, 2023 – February 9, 2024

Nairobi, Nairobi, Kenya

World Bank Economic Indicators Analysis

June 17, 2026 – Present

Macroeconomic Data Engineering & Analysis Pipeline Designed and implemented an end-to-end ETL pipeline to extract macroeconomic indicators (GDP, population, inflation, unemployment) from the World Bank API and load structured data into a relational MySQL database. Built a modular, scalable data pipeline with automated pagination handling, ISO3 country validation, metadata-driven filtering, and idempotent upsert logic to ensure reliable re-execution and long-term trend consistency. Engineered a normalized database schema with composite primary keys (country_code, year, indicator_code) to prevent duplication and enable accurate country-year-indicator tracking. Implemented bulk data ingestion using optimized executemany() operations, improving pipeline efficiency and scalability for multi-country, multi-year datasets. Structured and classified aggregate entities (World, Regions, Income Groups) using custom flags to support clean cross-country comparisons and macroeconomic benchmarking. Applied exploratory data analysis and regression techniques to evaluate relationships between GDP growth, unemployment trends, inflation patterns, and population dynamics. Designed analytical use cases to assess economic strategy effectiveness, sustainable growth patterns, and long-term development trajectories. Created a Power BI presentation by integrating Power BI with the MySQL database to visualize and analyze macroeconomic patterns in population growth, unemployment, inflation, and comparative country performance over time.

End-to-End Analytics & Data Engineering Pipeline (API → MySQL → BI)

June 17, 2026 – Present

Designed and implemented a modular ETL pipeline to extract structured JSON data from a public API, transform nested records using Python (Pandas), and load validated datasets into a relational MySQL database. Engineered a normalized schema with fact and dimension tables (players, teams, events, player_gameweek_stats) to support scalable querying and consistent analytical modeling. Developed reusable SQL views to define core business logic including ROI (points per cost), performance per 90 minutes, reliability thresholds, positional benchmarking, and elite classification logic. Applied bias-control techniques by excluding low-minute records and enforcing minimum playing-time thresholds to ensure statistical reliability and fairness in comparisons. Built interactive dashboards in Metabase to support constrained decision optimization under a fixed budget scenario, enabling value-based asset selection modeling. Implemented automated weekly pipeline execution using Windows Task Scheduler, ensuring idempotent data ingestion, duplicate protection, and continuous season-long updates. Structured analytics to evaluate short-term trends, week-over-week variance, positional contribution patterns, and player efficiency benchmarking.