Deep Learning, Eda, Git, Python, Artifact handling, Longitudinal statistical modeling, QC preprocessing, Imputation, Signal Processing, Feature engineering

Data Science, Github, Machine Learning, Tableau, JIRA, Python, Sql, AWS, R, dbt

Numpy, OpenAI, LangChain, LLaMA, Haystack

Pyspark, Pytest, Sql, Google Cloud, Nosql, Numpy, Git, Pandas, Azure, Python, Etl, AWS, Generative AI, AI ML models, UnitTest

Spark, Sql, Keras, Tensorflow, Presto, Numpy, Pandas, MLops, Pytorch, Hive, Python, Matplotlib, S2, Kubeflow, MLflow, GeoPandas, RNNs, Scikit-learn, H3, CNNs, Generative AI, Transformers

graph databases , Databricks, Tensorflow, Pytorch, cloud-native ML stacks, GraphRAG, ML solutions, GNNs, LLM-based applications, Vector Stores, SageMaker, embeddings, fraud detection models, ML pipelines, applied NLP, Pinecone, HuggingFace, FAISS

Matplotlib, Sql, Tensorflow, Numpy, Hive, Pandas, MLops, Pytorch, Presto, Spark, Keras, Python, Generative AI, RNNs, Scikit-learn, MLflow, CNNs, Kubeflow, Transformers

variation analysis , Time Series Analysis, Neural Networks, Cloud Computing, Machine Learning, Etl, Clustering, Python, probability theory, Regressions, Monte Carlo simulations, Sampling theory, Classification, Outlier identification techniques

Gcp, Sql, Python, AWS, open-source measurement tools, AI Agents, MMM attribution, Bayesian Methods, Google Meridian, incrementality solutions

Statistical Analysis, Machine Learning, Predictive Modeling, Python, Sql, Forecasting time-series models, Causal modeling, Classical ML algorithms, R, experimentation, Price elasticity pricing models