Kier Dominic Abellana
Data Scientist, IoT & Time-Series Analytics
Cebu City, Philippines · UTC+8 · 3 years of experience
Kier focuses on turning messy data into tested models and useful decisions.
Request a shortlistWhy this profile fits
Decision-first problem framing
Starts with the decision, target metric, and data limits before choosing a model or analytical method.
Validated modeling
Uses holdouts, experiment design, and error analysis to separate a useful signal from a convincing notebook.
Clear operational handoff
Documents assumptions, monitoring needs, and the path from analysis to a decision or production workflow.
Relevant toolkit
PythonSQL
scikit-learn
PyTorch
dbtDelivery evidence
Selected work
Predictive Maintenance for an Industrial IoT Fleet
Industrial equipment monitoring scale-upBuilt a streaming anomaly detection service over vibration and temperature data from roughly 12,000 sensors feeding TimescaleDB. Combined STL decomposition with a gradient-boosted residual model to cut false maintenance alerts by 43% while catching bearing failures the old threshold rules missed. Shipped behind MLflow with a Grafana view for the on-call team.
Short-Term Energy Demand Forecasting
Renewable-energy and smart-grid operatorDeveloped a day-ahead demand forecasting pipeline blending Prophet with a LightGBM residual model on weather and calendar features. Reduced forecast error (MAPE) from 14% to 8.2%, giving planners a more reliable baseline for dispatch decisions. Backtested rigorously and served results through a Streamlit dashboard.
Relevant experience
Career timeline
Data Scientist, IoT & Time-Series Analytics
Sep 2024–PresentDevlyn (embedded client engagements) · Remote, Cebu City, Philippines
- Built and shipped time-series forecasting models for industrial and energy clients, cutting day-ahead demand forecast error (MAPE) from 14% to 8.2% with a Prophet and LightGBM ensemble.
Associate Data Scientist
Oct 2023–Aug 2024Devlyn (bench, client-deployed) · Remote, Cebu City, Philippines
- Delivered churn and usage forecasting models for a connected-device subscription product, identifying at-risk cohorts that informed retention campaigns lifting 90-day retention by six points.
Data Analyst
Feb 2023–Sep 2023Renewable-energy monitoring startup · Cebu City, Philippines
- Built SQL models and Looker Studio dashboards tracking generation and consumption across a fleet of solar and metering sites for daily operations reviews.
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Skill depth
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Relevant experience by skill
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Languages
Frameworks
Libraries/APIs
Tools
Paradigms
Platforms
Storage
Other
Education
Formal background
BS in Computer Engineering, Computer Engineering
University of San Carlos · 2018–2022 · Cum Laude
Credentials
Certifications
AWS Certified Machine Learning Engineer – Associate
Amazon Web Services · 2025 · Certified
Communication
Languages
Filipino (Tagalog)
Native
Cebuano
Native
English
Fluent
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