Tensorflow, Sql, Pytorch, Python, Predictive Modeling, XGBoost, Data Visualization, Machine Learning, scikit-learn, Data Analysis, Statistical Modeling

snowflake , MLops, Amazon Redshift, Python, Statistical Significance Techniques, LLMOps, Model Rollout

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

Spark SQL, Python, Model evaluation metrics, Feature engineering

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

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

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, Data Architecture, Sql, Dashboards, Database Design, Data Visualization, Python, Reports, Alerts, Forecasting, Optimization, Statistical Modeling, cloud-enabled analytics, self-service analytical products