data warehouses , Machine Learning, Scipy, Pyspark, Sql, Numpy, Git, Pandas, XGBoost, Data Analytics, Python, Etl, data pipelines, Scikit-Learn, AWS SageMaker

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

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

snowflake , Databricks, Sql, Python, MLops, Time-Series Analysis, anomaly detection, Decision Intelligence

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

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

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

Gitlab, Sql, Databricks, Bitbucket, Github, Hadoop, Machine Learning, Power Bi, AWS, Hive, Statistical Modelling, Python, Azure, Gcp, Spark, LLMs, Airflow, MLflow, Generative AI