MUTETHIA KIGEAMK
Open to opportunities

MUTETHIA KIGEA

@mutethiakigea1

Certified Analytics Engineer with expertise in data engineering and analytics.

Kenya

What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in data analytics and engineering.

I am a Certified Analytics Engineer with three years of experience in data engineering, business intelligence, and data analytics. My journey has been marked by a strong focus on Microsoft technologies, particularly Azure and Microsoft Fabric. I have successfully built and maintained ELT pipelines, automated Power BI dashboards, and developed scalable data models that optimize storage and enhance data quality.

Throughout my career, I have collaborated with engineering and product teams to ensure reliable data delivery and model accuracy. My passion for driving data-informed decision-making is evident in my work, where I have implemented monitoring frameworks and automated analytics workflows. I take pride in delivering actionable business insights that empower organizations to make informed decisions.

Experience

Work history, roles, and key accomplishments

DR

Data Scientist

Drivelectric

Jan 2024 - Jan 2025 (1 year)

Developed predictive models for vehicle battery health using Python and Azure ML. Automated financial and fleet performance reporting, saving over 20 hours weekly, and designed modular data pipelines supporting ML models and Power BI analytics.

WE

Data Analyst Intern

Wrens Enterprises

Jun 2022 - Dec 2022 (6 months)

Conducted customer behavior and sales trend analysis, contributing to a 10% sales increase. Built data cleaning workflows that improved data accuracy by 15%, and created dashboards in Excel and Power BI to support decision-making.

Education

Degrees, certifications, and relevant coursework

Kenyatta University logoKU

Kenyatta University

Bachelor of Science, Statistics and Programming (Data Science)

2018 - 2023

Grade: Second-Class (Lower Division)

Focused on statistical modelling, machine learning, and data wrangling. Studied key programming languages like R and SQL, alongside Econometrics and Survey methods.

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