Francis Aminkeng
@francisaminkeng
Analytics Engineer specializing in data modeling, ETL/ELT pipelines, and BI for enterprise impact.
What I'm looking for
Data Scientist with 6+ years of experience delivering AI/ML solutions that drive measurable business outcomes across healthcare, insurance, and financial services Specialized in predictive modeling, NLP, and Generative AI, with a strong focus on building scalable, production-ready systems Proven experience developing: LLM-powered applications for automation and decision support End-to-end analytics platforms for data-driven insights Strong technical expertise in: Python (Scikit-learn, XGBoost, TensorFlow/PyTorch) SQL, data pipelines, and data engineering workflows Cloud platforms (AWS, Azure, GCP) MLOps, model deployment, and monitoring Hyperparameter optimization (Optuna, RandomizedSearchCV) Recognized for bridging data science, engineering, and business strategy, translating complex data into actionable insights that inform decision-making Currently exploring Agentic AI and geospatial risk modeling, applying advanced analytics to support disaster resilience and operational planning Passionate about building AI systems that solve real-world problems and create tangible impact
Experience
Work history, roles, and key accomplishments
Analytics Engineer
Novaces LLC
Nov 2024 - Present (1 year 7 months)
Designed and implemented ETL/ELT data transformation pipelines and dimensional data models for hazard mitigation and infrastructure resilience projects, reducing Power BI dashboard load times by 40% and enabling executive reporting and real-time visibility.
Senior Business Analyst
Gainwell Technologies LLC
Jan 2021 - Nov 2024 (3 years 10 months)
Elicited data requirements and designed normalized and dimensional data models for healthcare eligibility systems, built Power BI dashboards and SSRS reports, and led SQL-based testing and data validation to ensure production data accuracy.
Education
Degrees, certifications, and relevant coursework
Western Governors University
Master of Information Management Technology, Information Management Technology
Master of Information Management Technology focused on information management and technology principles to support data-driven solutions.
University of Tulsa
Bachelor of Science, Petroleum Engineering
Bachelor of Science in Petroleum Engineering with a minor in Geosciences, covering engineering principles and geoscience fundamentals applicable to energy industry projects.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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