Machine Learning, Statistical Modeling, Experimental Design, Python programming language, building and scaling data science solutions in cloud environments, distributed computing frameworks, tuning and evaluating ML models for NLP tasks, advanced data systems, working with large-scale complex datasets

statistical data analysis , snowflake , Hypothesis Testing, Tableau, Multivariate Analysis, D3, Docker, Python, BigQuery, Sql, Git, Predictive Modeling, Spark, FastAPI, Kubernetes, drift analysis, data visualization tools, ML data science libraries, RAG architectures, sampling methods, LLMs, Time Series techniques, plotly, Classification, prompt engineering, cloud data platforms

Machine Learning, data analysis tools and techniques

Large Language Models (LLMs), Python, Machine Learning, Deep Learning, Agentic AI, Prompt Engineering, RAG, Vector Databases

Data Science, Python, Sql, Statistical Analysis, Data Analysis, R

Kafka, Google Cloud, DataFlow, Tensorflow, Flask, Keras, Apache Beam, Kubernetes, Python 3, KubeFlow, Big Query, Pub Sub

data preparation , Machine Learning, Apache Spark, Sql, Rest Api, Hadoop Ecosystem, Pytorch, Docker, Scikit, Statistical Analysis, Python, MLflow, Delta Lake

Tensorflow, Pytorch, Power Bi, Tableau, Python, Sql, Scikit-learn