causal inference , Data Architecture, Tableau, Sql, Python, AI-enabled tools, semantic layers, Amplitude, analytics tools, a/b testing, Performance Measurement, Mixpanel, product analytics, feature adoption, quasi-experimental methods, data quality instrumentation, metric definitions, funnel analysis, data science analysis

Data Science, Product Management

snowflake , stochastic programming , Python, Sql, Numpy, Pandas, Seaborn, Power Bi, Statistical Analysis, Machine Learning Algorithms, Matplotlib, Airflow, Operations Research Concepts, Data Visualization Tools, Streamlit, Scripting and Programming, Dask, Postman API Integration, Applied Statistics

Data Science, Predictive Analytics, Python, R, Interpreting model results, Statistical Modeling, Data preprocessing, Machine learning frameworks, Communicating insights

Databricks, Sql, Tensorflow, Deep Learning, Machine Learning, Pytorch, Data Science, Gcp, Sparql, AWS, Python, Azure, semantic models, cloud environments, semantic data systems, scikit-learn, GQL, embeddings, enterprise ontologies, RAG, GenAI systems, semantic retrieval, Statistical Modeling, Cypher, applied AI, enterprise knowledge grounding, graph query languages, ML libraries, vector databases, knowledge engineering, big data infrastructure

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

data engineering , Data Science, Machine Learning, Distributed Computing, Artificial Intelligence, Advanced Analytics, Spark, AI System Design

Distributed Computing, Neural Networks, Microservices, Tensorflow, Numpy, Nlp, Pytorch, Python, Machine Learning Algorithms, Apis, AI ML, Sql, Azure ML, Computer Vision, MLops, Pandas, Keras, embeddings, ML security governance, GenAI techniques, vector databases, CI CD, responsible AI guidelines, data engineering concepts, Google Vertex AI, Statistical Modeling, LLMs, Scikit-learn, AWS SageMaker