Spark SQL, Python, Model evaluation metrics, Feature engineering

Data Science, Machine Learning, Databricks, Azure, Kubernetes, GenAI, AI Foundry, cloud-based AI platforms, Ai, LLM technologies, AI Search

causal inference , Clustering, Sql, Python, Uplift modelling, Time-series, Demand Forecasting, Instrumental variables, Difference-in-differences, Regression, Applied statistical ML modelling, Synthetic control, Classification, Price-elasticity estimation, Experiment design

data mining, Schema Design, Python, Sql, Statistical Analysis, R, data querying, dimensional data modeling

Predictive Modeling, Amazon Web Services, Machine Learning, Artificial Intelligence, Natural Language Processing, Data Mining, Apache Spark, Big Data, Sql, Deep Learning, Data Science, Algorithms, Spark, Data Visualization, Python, Statistics, Statistical Modeling, Data Analysis

S3, Tensorflow, Lambda, Kinesis, Pytorch, Python, AWS, Sql, Kms, MLops, Iam, Containers, cold start, Amazon SageMaker AI, Thompson Sampling, Hugging Face, vector databases, reinforcement learning, IaC, LinUCB, off-policy evaluation, observability, LangChain, reward design, Step Functions, Exploration, Glue, Contextual bandits, Athena, CI CD for ML

Python, Sql, advanced modeling frameworks, generative AI tools, data visualizations, ETL pipelines

Machine Learning, Pyspark, Python, Sql, Training, Feature Engineering, Data Pipeline Concepts, Inference

Tensorflow, Pytorch, Docker, FastAPI, Python, computer vision models, TensorRT, vector databases, data pipeline tools, LLM application development

Scipy, Pyspark, Sql, Numpy, Pandas, XGBoost, Python, hyper-parameter optimization, Visualization, Data Processing, Amazon Quick Sight, object-oriented programming, code versioning with Git, CI CD, Scikit-Learn, model validation, test-driven development, AWS SageMaker, transformation pipeline development, data ingestion, feature selection