Sql, Python, Pyspark, Advanced Analytics, Measurement, BI frameworks, experimentation, Customer Segmentation, AI-first approach

Sql, Python, elasticity models, model validation, causal inference models, experimentation, time series forecasting

BigQuery, Machine Learning, Tableau, Clustering, Sql, Time Series Analysis, DataFlow, Python, Vector databases, Fine-tuning methods, Regression, Looker, Transformer-based models, Cloud Composer, Embeddings, Classification, Vertex AI, RAG, Prompt Engineering

data preparation , snowflake , Unix, Random Forest, Neural Networks, Shell scripting, Python, Boosting and bagging methods, Ensemble models, ML libraries, Regression, Advanced ML techniques, Feature engineering, GBM, Distributed data systems, supervised learning, ML pipelines

snowflake , Kafka, Sql, MLops, Spark, Databricks, Python, Probabilistic modeling, Airflow, Generative AI, LLMs, Feature engineering, Transformers, Tree-based models

Time Series Analysis, Machine Learning, Sql, Tensorflow, Numpy, Pandas, Pytorch, Python, scikit-learn, probabilistic forecasting, Statistics, statsmodels

snowflake , BigQuery, Sql, Azure ML, Pandas, XGBoost, Databricks, Python, scikit-learn, Polars, LightGBM, AWS SageMaker, Vertex AI, CatBoost

Hadoop, Power Bi, Tableau, Sql, Seaborn, Pandas, Matplotlib, Spark, Python, Machine Learning Algorithms, Demand Forecasting, scikit-learn, data visualization tools, price optimization, statsmodels, inventory optimization

data engineering , Advanced Analytics, BigQuery, Machine Learning, Power Bi, SAS, Tableau, Redshift, Sql, DataBricks, Psql, Google Analytics, Python, AWS, digital measurement and reporting tools, Google DCM, Adobe, R, Statistical Modeling