I'm a results-driven machine learning engineer with over 4 years of experience designing, training, and deploying scalable ML and deep learning models. I specialize in predictive modeling, NLP, and algorithmic trading systems, and I enjoy turning business problems into data-driven solutions using AWS and Google Cloud. I collaborate across teams to translate insights into actionable strategies and deliver robust, scalable solutions. I’m passionate about building end-to-end ML pipelines, deploying models in production, and continuously improving forecast accuracy and system reliability for fintech and logistics clients.

Faustin Pkemoi

I'm a results-driven machine learning engineer with over 4 years of experience designing, training, and deploying scalable ML and deep learning models. I specialize in predictive modeling, NLP, and algorithmic trading systems, and I enjoy turning business problems into data-driven solutions using AWS and Google Cloud. I collaborate across teams to translate insights into actionable strategies and deliver robust, scalable solutions. I’m passionate about building end-to-end ML pipelines, deploying models in production, and continuously improving forecast accuracy and system reliability for fintech and logistics clients.

Available to hire

I’m a results-driven machine learning engineer with over 4 years of experience designing, training, and deploying scalable ML and deep learning models. I specialize in predictive modeling, NLP, and algorithmic trading systems, and I enjoy turning business problems into data-driven solutions using AWS and Google Cloud. I collaborate across teams to translate insights into actionable strategies and deliver robust, scalable solutions.

I’m passionate about building end-to-end ML pipelines, deploying models in production, and continuously improving forecast accuracy and system reliability for fintech and logistics clients.

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Language

English
Fluent
English
Fluent

Work Experience

junior data analyst at UN
December 9, 2025 - January 23, 2026
n The role involves managing HR data, generating comprehensive reports, and creating visualizations to communicate insights to HR stakeholders. This position is part of UNON’s broader mission to support key UN agencies like UNEP and UN-Habitat, as well as the Resident Coordination System, by ensuring efficient administrative and data-driven operations in Nairobi, Kenya.
Machine Learning Engineer at TechNova Analytics Ltd
January 1, 2022 - Present
Designed and deployed real-time stock price prediction models using LSTMs and reinforcement learning, improving forecast accuracy by 23%. Built and maintained scalable ML pipelines on AWS integrating CI/CD for retraining and deployment. Implemented customer churn prediction system with XGBoost, achieving 91% recall. Collaborated with teams to turn data insights into business strategies for fintech and logistics clients.
Data Scientist (Intern → Junior) at AI Labs Africa
January 1, 2020 - January 1, 2022
Developed a credit scoring model using logistic regression and LightGBM, reducing loan default by 12%. Created NLP-based sentiment analysis on 1M+ comments using BERT embeddings. Automated data collection and cleaning using Python (BeautifulSoup, Pandas).

Education

bachelor of science in computer science at pwani university
August 26, 2023 - May 26, 2027
B.Sc. in Computer Science at University of Nairobi
January 11, 2030 - January 1, 2022

Qualifications

TensorFlow Developer (Google)
January 1, 2023 - March 5, 2026
AWS ML Specialty
January 1, 2024 - March 5, 2026
Deep Learning Specialization (Coursera)
January 1, 2023 - March 5, 2026

Industry Experience

Other, Wholesale & Distribution, Consumer Goods, Real Estate & Construction, Financial Services, Software & Internet, Professional Services, Transportation & Logistics
    paper Rental data cleaning analysis
    The task involves identifying properties that have sold in the last 6 years from January 1st 2026, with proficiency in tools like Microsoft Excel or Python. Analyze CSV files for property sales Identify properties sold in last 6 years Provide a summary report Provide a CSV file with with highlighted rows of properties that have been sold Provide a CSV file with sold properties removed