Kithongo MutuaKM
Open to opportunities

Kithongo Mutua

@kithongomutua

Data scientist passionate about innovative analytics and business solutions.

Kenya

What I'm looking for

I seek a collaborative environment where I can apply data science to drive impactful business decisions and foster growth.

As a dedicated data scientist with a Master's in Economics, I thrive on applying advanced analytics to solve complex business challenges. My experience at Invisible Technologies Inc. has equipped me with the skills to implement data-driven strategies that significantly enhance customer retention and operational efficiency. I take pride in my ability to lead teams towards adopting predictive analytics, resulting in substantial cost reductions and revenue growth.

My projects, such as developing a Deep Learning Image Search Engine and conducting Causal Impact Analysis, showcase my commitment to leveraging machine learning for actionable insights. I am constantly seeking opportunities to expand my knowledge and contribute to innovative solutions that drive business success. My passion for data science is matched only by my desire to create value for clients and end-users alike.

Experience

Work history, roles, and key accomplishments

II
Current

Operations Management Team Lead

Invisible Technologies Inc.

Dec 2021 - Present (3 years 6 months)

Led the implementation of data-driven strategies that significantly improved customer retention and order value. Directed the adoption of predictive analytics, resulting in reduced operational costs and enhanced revenue. Conducted consultations to tailor solutions for clients, improving data insights and satisfaction.

Education

Degrees, certifications, and relevant coursework

Kenyatta University logoKU

Kenyatta University

Master of Economics, Economics

2017 - 2020

Completed a Master's degree in Economics, focusing on data science applications and advanced analytics. The program included courses on statistical concepts, machine learning algorithms, and data manipulation techniques using Python and SQL.

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