matching , Pyspark, Statistical Modelling, Python, BigQuery, Sql, embeddings, GenAI, data pipelines, agentic automation, vector databases, anomaly detection, distributed compute, retrieval augmented generation, enterprise ML data tooling, model evaluation, Optimization, dbt, model monitoring, orchestration frameworks, data quality checks, model scoring processes, Forecasting, Classification, prompt engineering, large-scale data processing, reusable analytics datasets, Regression, cloud data platforms, feature engineering

data engineering , Machine Learning, Tableau, Tensorflow, Numpy, Pytorch, Python, AWS, Time Series Analysis, Sql, Git, Pandas, MLops, Gcp, Azure, Large Language Models, LangChain, Generative AI, LLMOps, Scikit-learn, Dataiku, CI CD pipelines, LlamaIndex, ETL workflows

SAS, Tableau, Matlab, Python, Sql, AWS QuickSight, R, causal machine learning, statistical models, R Shiny

process mining , Deep Learning, Nlp, Spark, Databricks, Python, data pipelines, unsupervised ML, supervised ML, ML models

Machine Learning, Sql, Python, Product management, Supply Chain, Analytics

Python, R Programming, Sql, Pyspark, Testing, Designing

probability , Machine Learning, Tcp, Http, Dns, SSL, Sql, Tls, Python, Data Analysis, clustering techniques, Ip, Go, web application architectures, Statistics

causal inference , Sql, Python, Tensorflow, regression modelling, R, scikit-learn, statistical methodologies

prophet , Pyspark, Tensorflow, Nlp, Pytorch, Numpy, Docker, Python, AWS, Pandas, Arima, Spark, FastAPI, Azure, embeddings, ETS, scikit-learn, MLflow, multi-region, multi-SKU, Streamlit, Forecasting, Transformers, ML-based forecasting, hierarchical forecasting