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I am a passionate Data Scientist and AI Engineer currently pursuing my Master’s in Data Science and Engineering at the University of Maine. I enjoy conducting research in AI, machine learning, computer vision, and NLP, especially focusing on assistive technologies to improve accessibility and real-world applications. With prior experience at the Kenya National Bureau of Statistics, I excel at designing surveys, performing data collection, cleaning, and analysis to deliver actionable insights. I am skilled in Python, TensorFlow, PyTorch, and various data science tools, and I thrive in interdisciplinary teams to build AI-driven solutions. My projects include cutting-edge research in automated medical diagnostics, computer vision for aiding blind and low-vision passengers, and cybersecurity applications detecting deepfakes. I am eager to advance my expertise and contribute meaningfully through innovation and collaboration.…I am a passionate Data Scientist and AI Engineer currently pursuing my Master’s in Data Science and Engineering at the University of Maine. I enjoy conducting research in AI, machine learning, computer vision, and NLP, especially focusing on assistive technologies to improve accessibility and real-world applications. With prior experience at the Kenya National Bureau of Statistics, I excel at designing surveys, performing data collection, cleaning, and analysis to deliver actionable insights. I am skilled in Python, TensorFlow, PyTorch, and various data science tools, and I thrive in interdisciplinary teams to build AI-driven solutions. My projects include cutting-edge research in automated medical diagnostics, computer vision for aiding blind and low-vision passengers, and cybersecurity applications detecting deepfakes. I am eager to advance my expertise and contribute meaningfully through innovation and collaboration.

Faith Chepkoech

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I am a passionate Data Scientist and AI Engineer currently pursuing my Master’s in Data Science and Engineering at the University of Maine. I enjoy conducting research in AI, machine learning, computer vision, and NLP, especially focusing on assistive technologies to improve accessibility and real-world applications. With prior experience at the Kenya National Bureau of Statistics, I excel at designing surveys, performing data collection, cleaning, and analysis to deliver actionable insights. I am skilled in Python, TensorFlow, PyTorch, and various data science tools, and I thrive in interdisciplinary teams to build AI-driven solutions. My projects include cutting-edge research in automated medical diagnostics, computer vision for aiding blind and low-vision passengers, and cybersecurity applications detecting deepfakes. I am eager to advance my expertise and contribute meaningfully through innovation and collaboration.…I am a passionate Data Scientist and AI Engineer currently pursuing my Master’s in Data Science and Engineering at the University of Maine. I enjoy conducting research in AI, machine learning, computer vision, and NLP, especially focusing on assistive technologies to improve accessibility and real-world applications. With prior experience at the Kenya National Bureau of Statistics, I excel at designing surveys, performing data collection, cleaning, and analysis to deliver actionable insights. I am skilled in Python, TensorFlow, PyTorch, and various data science tools, and I thrive in interdisciplinary teams to build AI-driven solutions. My projects include cutting-edge research in automated medical diagnostics, computer vision for aiding blind and low-vision passengers, and cybersecurity applications detecting deepfakes. I am eager to advance my expertise and contribute meaningfully through innovation and collaboration.

Available to hire

I am a passionate Data Scientist and AI Engineer currently pursuing my Master’s in Data Science and Engineering at the University of Maine. I enjoy conducting research in AI, machine learning, computer vision, and NLP, especially focusing on assistive technologies to improve accessibility and real-world applications. With prior experience at the Kenya National Bureau of Statistics, I excel at designing surveys, performing data collection, cleaning, and analysis to deliver actionable insights.

I am skilled in Python, TensorFlow, PyTorch, and various data science tools, and I thrive in interdisciplinary teams to build AI-driven solutions. My projects include cutting-edge research in automated medical diagnostics, computer vision for aiding blind and low-vision passengers, and cybersecurity applications detecting deepfakes. I am eager to advance my expertise and contribute meaningfully through innovation and collaboration.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Graduate Research Assistant at VEMI Lab, University of Maine

May 1, 2025 - August 21, 2025

Conducted research in AI, machine learning, computer vision, and NLP focusing on assistive technologies. Developed machine learning models, including CNNs for object detection and scene understanding. Utilized TensorFlow and PyTorch for deep learning applications in autonomous systems, designed AI-driven solutions to enhance transportation accessibility, performed data analysis and visualization, and collaborated with interdisciplinary teams to integrate AI into real-world use cases.

Research Assistant at Kenya National Bureau of Statistics (KNBS)

July 1, 2023 - August 21, 2025

Designed and implemented questionnaires using various survey tools, conducted and validated data collection for over 300 households ensuring accuracy and data integrity. Performed data cleaning, preparation, and analysis using Python and Excel. Delivered comprehensive reports with actionable insights from survey findings.

ICT Supervisor at Kenya National Bureau of Statistics (KNBS)

September 30, 2019 - August 21, 2025

Trained content supervisors and enumerators on ICT issues, provided technical support, ensured census enumeration commenced as scheduled, maintained backup census materials, and supervised the census exercise to achieve 98% success rate.