Puifai Santisakultarm

Senior Machine Learning Engineer @E.ON

Berlin, DE
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2025 — Present

Senior Machine Learning Engineer @E.ON

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Berlin, DE

I build scalable machine learning infrastructure on Azure and Databricks, designing end-to-end pipelines that process diverse data—weather, usage patterns, seasonality, and time-of-day—to forecast energy demand and renewable generation. I leverage these insights for the capacity reserves market and develop bidding strategies to optimize revenue. Additionally, I create AI-powered mobile tools for utility workers to analyze power distribution cabinet (Kabelverteilerschrank, KVS) images, automatically identifying connectivity, fuse type and size, and expansion potential, streamlining field operations.

EDUCATION

N/A

Portland Community College

Associate of Science - AS

N/A

Illinois Institute of Technology

B.S., Biomedical Engineering

N/A

Cornell University

Ph.D., Biomedical Engineering

SKILLS

ImagejStatistical ModelingResearchProgrammingBiomedical EngineeringAnimal SurgeryMachine LearningMicrosoft PowerpointMicrosoft WordBig DataLife SciencesSqlTechnical WritingOptical ImagingSparkFluorescence MicroscopyPythonPublic SpeakingLaboratoryGitCancerPandasMatlabTwo-Photon MicroscopyNumpyStatisticsScienceData AnalysisAdobe Creative SuiteBashLeadershipData WranglingExperimentationPostgresqlMicrosoft ExcelMicrosoft OfficeMicroscopyTeachingAnalytical SkillsImage Processing

ABOUT PUIFAI SANTISAKULTARM

ML scientist with a Ph.D. in Engineering. Experienced in big data using Python, Scikit-learn, Spark, Pandas, statistics, and machine learning. Outstanding communicator for technical and non-technical audiences. I use machine learning to solve complex data problems.Languages: Python, SQL, Spark, MatlabTools: Scikit-Learn, Pandas, Spark, Keras, Tensorflow, Pytorch, Seaborn, Matplotlib, Numpy, Jupyter Notebook, Git, AWS, S3, SageMaker, Docker, Lambda, Hugging Face, ETLTechniques: Machine Learning, XGBoost, Random Forest Classification, K-means Clustering, Deep Neural Network, Multilayer Perceptron, Multi-task Learning, Logistic Regression, Semi-supervised Learning, Synthetic Minority Over Sampling (SMOTE), Natural Language Processing (NLP), Bag-of-words, TF-IDF, Transformer, Text Embedding, z-test, ANOVA, Chi-square, Normality Test, Similarity Matrix, Non-parametric Tests, Large Language Model (LLM)

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Puifai Santisakultarm — Senior Machine Learning Engineer at E.ON in Berlin, DE | Unifers