Big Data Analytics, Gen AI, Agentic AI, Cloud Environment

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

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

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