causal inference , Python, Sql, Time Series, Machine Learning, marketing mix modeling, Econometric Modeling, Regression, Hierarchical models

Machine Learning, Scala, Pyspark, Sql, Deep Learning, Tensorflow, Pandas, Pytorch, Docker, Databricks, Kubernetes, Python, GenAI, Data Pipelines, Feature Engineering, Scikit-learn, Statistics, Scalable Workflows, Optimisation Algorithms

Keras, Sql, Deep Learning, Tensorflow, Hadoop, MLops, AWS, Pytorch, Kubernetes, Python, Azure, Gcp, Docker, Spark, LangChain, DSPy

Hadoop, Sql, Tensorflow, MLops, Pytorch, Gcp, Docker, Spark, Keras, Azure, Kubernetes, Python, AWS, LangChain, DSPy

Sql, Information Retrieval, Python, Data Visualization, Machine Learning, MLops, AWS Cloud-Based ML Systems, semantic search, Model Lifecycle Management, Statistical Modeling, Software Engineering Best Practices

Code Review, Azure, Python, Production ML and model deployment, AI-assisted coding workflows and coding agents such as Codex, Technical mentorship and communication, Forecasting, Generative AI, Reusable package design, Optimization, Applied statistics modeling and rigorous evaluation, Production-quality code testing, Open-source contribution and reusable package development, experimentation, Data pipelines, Databricks environments

Sql, Deep Learning, Machine Learning, Predictive Modeling, Python, Site experimentation, Statistical methods, Ensemble models, R, Inferential analysis, experimentation, Transformer-based methods

causal inference , Python, Sql, product analytics, experimentation design, generative AI tooling, Ai, event instrumentation

Tensorflow, Machine Learning, Pytorch, Pyspark, Sklearn, Python, Time Series Forecasting