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

Spark SQL, Python, Model evaluation metrics, Feature engineering

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

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

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

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