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

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

No Sql, Tableau, Python, Data Science

data engineering , snowflake , Machine Learning, Hadoop, Sql, Deep Learning, Data Science, MLops, Spark, Databricks, Azure, Python, Model Life Cycle Management

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

Sql, Nltk, Nlp, Pytorch, Gcp, Azure, Python, AWS, Scikit-learn, Transformer-based models, GPT, BERT, unstructured data processing, Graph Neural Networks

Algorithms, Data structures, Multithreaded programming, Unix Linux System Programming