Abednego Keango

ABEDNEGO KEANGO Data Analyst | Machine Learning Engineer | AI & Predictive Analytics Nairobi, Kenya (Open to Remote Worldwide) | - |-LinkedIn: linkedin.com/in/abednego-keango-bb PROFESSIONAL SUMMARY Results-driven Data Analyst and Machine Learning Specialist with a Master’s in Machine Learning and a BSc in Statistics, combining strong analytical foundations with real-world AI deployment experience. Proven track record of building predictive models, optimizing data pipelines, and delivering measurable business impact in fintech and research environments. Expert in Python, SQL, and modern ML frameworks, with demonstrated success improving model performance, reducing operational inefficiencies, and enabling data-driven decisionmaking in remote, high-performance teams. CORE COMPETENCIES          Machine Learning Model Development & Deployment Predictive Analytics & Statistical Modeling Data Analysis, Cleaning & Validation Feature Engineering & Model Optimization Business Intelligence & Data Visualization A/B Testing & Model Performance Evaluation Data Pipeline Development & Automation Credit Risk Modeling & Customer Analytics Cross-Functional Collaboration & Stakeholder Communication TECHNICAL TOOLKIT       Programming & ML: Python, R, SQL, TensorFlow, PyTorch, scikit-learn, XGBoost Statistical Tools: SPSS, STATA, SAS Visualization & BI: Tableau, Power BI, Excel (Advanced Analytics & Dashboards) Core Capabilities: Machine Learning Pipelines, Deep Learning, Feature Engineering, Model Deployment Data Handling: Data Cleaning, Transformation, Large-Scale Dataset Processing Workflow: Remote Collaboration, Asynchronous Project Execution PROFESSIONAL EXPERIENCE Freelance Data Analyst (Remote) Self-Employed | 2023 – Present      Built and optimized regression models on large datasets (2,900+ observations), improving predictive accuracy (R² from 67.95% to 78.68%) Performed advanced statistical analysis, hypothesis testing, and inference to support datadriven decision-making Executed full data lifecycle processes: cleaning, validation, exploratory analysis, modeling, and visualization Delivered clear, actionable insights through professional reports and visualizations, enhancing stakeholder understanding Diagnosed and validated statistical assumptions, ensuring robustness and reliability of analytical outputs AI Specialist (Part-Time) M-KOPA, Kenya | Feb 2024 – Jul 2024      Developed and deployed machine learning models for credit risk and default prediction, improving loan approval accuracy by 18% and reducing default rates Built predictive analytics pipelines on IoT data to forecast customer behavior and churn, increasing repayment rates by 12% Designed customer segmentation models using clustering (K-Means, DBSCAN), enabling targeted marketing and personalized product strategies Integrated ML models into production systems, automating credit decision workflows and reducing manual processing time by 35% Conducted rigorous model evaluation (ROC-AUC, precision-recall, cross-validation) to ensure high-performance and production-ready solutions Data Analyst Intern Kenya Agricultural & Livestock Research Organization (KALRO) | Oct 2022 – Dec 2022     Conducted data collection, cleaning, and statistical analysis for national research projects using SPSS, SQL, and Excel Produced structured reports supporting strategic planning, performance tracking, and policy development Ensured data accuracy and consistency across research datasets and reporting systems Collaborated with research teams to translate complex data into actionable insights EDUCATION Master of Science in Machine Learning Jomo Kenyatta University of Science and Technology | 2023 – 2025 Bachelor of Science in Statistics Laikipia University | 2017 – 2022 CERTIFICATIONS    Google Data Analytics Professional Certificate – Coursera (2025) Data Mining with R – Franklin University (2024) StrataScratch SQL Practice (Advanced SQL Training) SELECTED IMPACT & ACHIEVEMENTS     Improved credit risk prediction accuracy and reduced defaults in a fintech environment Increased customer repayment rates through predictive analytics and behavioral modeling Delivered high-performance machine learning and analytics solutions across remote client projects Demonstrated strong ability to translate complex data into measurable business outcomes PROFESSIONAL ATTRIBUTES      Strong analytical and problem-solving mindset with focus on measurable impact Highly adaptable to new technologies, tools, and fast-paced environments Effective communicator capable of translating technical insights into business value Self-driven, reliable, and experienced in fully remote, asynchronous work environments Committed to data accuracy, model robustness, and continuous improvement LANGUAGES English – Fluent Swahili – Native