Machine Learning Data Scientist

Arman Ahmadi, Ph.D.

530-***-**** • *.******@********.*** • LinkedIn • Berkeley, CA

PROFILE

Data scientist with 8+ years of experience extracting actionable insights from time series and geospatial environmental data and building machine learning models to drive evidence-based decision-making. SKILLS

Programming: Python, MATLAB, Fortran

Statistics and Modeling: Machine Learning, Deep Learning, Forecasting, Feature Importance Analysis, Experimentation, Causal Inference

Tools: pandas, seaborn, scikit-learn, PyTorch, Darts PROFESSIONAL EXPERIENCE

Postdoctoral Scientist, UC Berkeley Oct 2023 – present

• Processed, cleaned, and interpreted multiple decades of noisy environmental time series and satellite data at regional to global scales.

• Integrated interpretable machine learning techniques (e.g., PDPs, ALE plots, SHAP, symbolic regression) with physical understanding to derive generalizable insights on terrestrial carbon and water cycles and develop data-driven decision-making tools. Research Fellow, California Department of Water Resources Jul 2023 – Oct 2023

• Designed and implemented a deep learning framework using state-of-the-art architectures (e.g., N- BEATS, TCN, and TFT) to forecast water use in California’s Central Valley; deployed by the California government to drive sustainable water management decisions. Ph.D. Candidate, UC Davis Jan 2020 – Jul 2023

• Performed feature importance and trend analyses (e.g., mutual information, Mann-Kendall test) on over 1.3M samples from 237 weather stations across California, uncovering key drivers of climate trends.

• Developed SolarET, a generalizable machine learning model (gradient boosted trees; 19M+ hourly samples) for crop irrigation, saving 17,000+ liters of water per hectare daily versus conventional methods.

M.S. Student, University of Tehran Sep 2016 – Dec 2019

• Proposed and validated a hybrid uncertainty estimation framework for hydrological models using a fuzzified GRNN, reducing model complexity while preserving predictive accuracy. EDUCATION

Ph.D. Biological Systems Engineering, UC Davis, 2023 (GPA: 4.0/4.0) M.S. Civil Engineering, University of Tehran, 2019 (GPA: 4.0/4.0) B.S. Civil Engineering, University of Tehran, 2015

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