faith Mo
@faithmo
Innovative Machine Learning Engineer and Data Analyst with real-world impact.
What I'm looking for
I am an innovative and detail-oriented Machine Learning Engineer and Data Analyst with two years of experience in AI, data science, and geospatial analysis. My journey has been driven by a passion for leveraging AI and big data to create impactful solutions that address real-world challenges. I have a strong background in data analysis, machine learning model development, and cloud computing, which allows me to contribute effectively to any team.
In my previous role as a Data Analyst at Nyeri Referral Hospital, I conducted in-depth data analysis and visualization to uncover healthcare trends and designed predictive analytics models to improve public health outcomes. My experience as an AI & Machine Learning Engineer with UN Volunteers further honed my skills in developing AI models for natural language processing and deploying machine learning pipelines. I am committed to ethical AI development and responsible technology practices, ensuring that my work benefits society as a whole.
Experience
Work history, roles, and key accomplishments
Data Analyst
Nyeri Referral Hospital
Aug 2023 - Oct 2024 (1 year 2 months)
Conducted in-depth data analysis and visualization for healthcare trends. Designed machine learning models for predictive analytics in public health using SQL and Python.
AI & Machine Learning Engineer
UN Volunteers
Nov 2023 - Jan 2024 (2 months)
Developed AI models for natural language processing and real-time data analysis. Deployed machine learning pipelines using Apache Airflow and integrated cloud services for scalable solutions.
Geospatial Analyst
MSL Frontiers
Jun 2023 - Oct 2023 (4 months)
Conducted spatial data analysis using GeoPandas, QGIS, and ArcGIS. Developed geospatial models for environmental and infrastructure projects.
Education
Degrees, certifications, and relevant coursework
Dedan Kimathi University of Science and Technology
Bachelor of Science, Geospatial Information & Remote Sensing
2020 - 2025
Studied Geospatial Information and Remote Sensing, focusing on the application of geospatial technologies and remote sensing techniques for environmental and infrastructure projects.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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