Github, Tableau, Sql, Decision Trees, advanced Excel, Clustering, Python, Forecasting, Classification, Azure ML Model Deployment, R, Regression, statistical modelling techniques

Machine Learning, Nlp, Data Mining, Apache Spark, Information Retrieval, Python, Deep Learning, Statistics

Neural Nets, Clustering, Python, anomaly detection, machine learning techniques, demand sensing, Heuristic LP, R, ensemble learning, Market Intelligence, time series optimizations, Regression, stochastic models, forecasting optimization, GA, feature engineering

Tensorflow, Pandas, Pytorch, Hadoop, Spark, Sql, Google Cloud, Python, AWS, Scikit-learn

Github, Scipy, Deep Learning, Numpy, Git, Pandas, Gcp, MLops, Azure, Python, AWS, Generative AI, Search Relevance Techniques, Semantic Retrieval, Personalization Models, Learning-to-Rank

Sql, Nosql, Tensorflow, Numpy, Nltk, Pytorch, Pandas, Gcp, Docker, Azure, Python, AWS, LangChain, Generative AI, Hugging Face Transformers, Scikit-learn, MLflow, spaCy, NLP techniques

Machine Learning, Natural Language Processing, Python, Sql, Deep Learning, Model Evaluation

Pyspark, Tableau, Python, Sql, AWS, Data Analysis, Data pipeline development

Tensorflow, Azure, Python, scikit-learn, Data Processing

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