Svm, Deep Learning, Neural Network, Predictive Modeling, Clustering, Python, applied statistical analysis, Forecasting, Random Forests, R, Regression, Boosting, Tree, text analysis

Tensorflow, Pandas, Pytorch, Hadoop, Spark, Python, Sql, Google Cloud, AWS, Scikit-learn

Predictive Modeling, Machine Learning, Svm, Clustering, Deep Learning, Statistical Analysis, Python, Forecasting, Random Forests, Regression, R, Boosting, Text Analysis, Tree

causal inference , Databricks, Clustering, Pandas, Regression Analysis, Numpy, Python, Hypothesis Testing, Scipy, Bayesian Methods, scikit-learn, statistical methodology, stats models, Survival Analysis, Experimental Design, Simulation, time-series analysis

MLops, Pytorch, Weakly-supervised learning, Deep learning workflows, Medical image analysis, Experiment reproducibility, AI development in regulated environments, Multimodal models

Unix, Sql, Shell scripting, Hive, Java, Python, Data Visualization, Linux, R

Tensorflow, Pytorch, Python, Graphql, Neo4j, graph-based data modeling, PQ, metadata filtering, Nemotron, natural language query answering, FAISS-based vector indexes, Retrieval-Augmented Generation pipelines, vector databases, HNSW, QLoRA, document chunking, LoRA, IVF, Llama variants, Knowledge Graphs, parameter-efficient fine-tuning, Mistral, Phi

Deep Learning, Sql, Tensorflow, Pytorch, Python, LLMs, long-term reward modeling, transformer architectures, ranking, multi-task learning, content-based techniques, collaborative filtering, candidate generation, hybrid approaches, embedding techniques, transfer learning, reinforcement learning, recommendation system algorithms, slate optimization, RLHF reward modeling, Experimental Design, bandits