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, Demand Forecasting, Randomisation, Instrumental variables, Difference-in-differences, Regression, Synthetic control, Classification, Price-elasticity estimation, Experiment design, Statistical ML modelling

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

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

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

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

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

Python, Sql, Machine Learning