R
Rakesh Kumar Ettaboina
Rakesh Kumar Ettaboina
About
Detail
Sr Data Scientist | AI/ML Engineer | AI & Machine Learning | Cloud (Azure | AWS | GCP)
Romeoville, Illinois, United States
I am an accomplished AI/ML Engineer, Data Scientist, and Data Engineer with more than 11 years of progressive experience delivering high-impact data, analytics, artificial intelligence, and machine learning solutions across healthcare, finance, utility, retail, and enterprise technology environments. My background spans the full spectrum of modern data and AI engineering—ranging from ETL/ELT development and enterprise data pipelines to advanced machine learning, deep learning, natural language processing, predictive modeling, large language models (LLMs), MLOps/LLMOps, cloud computing, and business intelligence.
Across my career, I have consistently driven value by transforming raw, complex datasets into powerful, actionable insights; building intelligent, automated solutions; and creating scalable AI systems that directly support organizational strategy, operational excellence, and data-driven decision-making.
My experience in the AI/ML domain covers an extensive range of supervised, unsupervised, and deep learning algorithms, statistical modeling techniques, and advanced predictive frameworks. I have built and deployed models using Logistic Regression, Linear Regression, Random Forest, XGBoost, PCA, SVM, KNN, Decision Trees, Clustering algorithms, Neural Networks (ANN, CNN, RNN, LSTM), Autoencoders, Ensemble Learning, Gradient Boosting, and a broad set of Scikit-learn methodologies.
I’m available at mail- ettaboinarakeshkumar@gmail.com, Contact at +1(815) 320-9631
Across my career, I have consistently driven value by transforming raw, complex datasets into powerful, actionable insights; building intelligent, automated solutions; and creating scalable AI systems that directly support organizational strategy, operational excellence, and data-driven decision-making.
My experience in the AI/ML domain covers an extensive range of supervised, unsupervised, and deep learning algorithms, statistical modeling techniques, and advanced predictive frameworks. I have built and deployed models using Logistic Regression, Linear Regression, Random Forest, XGBoost, PCA, SVM, KNN, Decision Trees, Clustering algorithms, Neural Networks (ANN, CNN, RNN, LSTM), Autoencoders, Ensemble Learning, Gradient Boosting, and a broad set of Scikit-learn methodologies.
I’m available at mail- ettaboinarakeshkumar@gmail.com, Contact at +1(815) 320-9631