object detection , Tensorflow, Pytorch, Python, AWS, Version Control, Azure ML, Gcp, Computer Vision, Opencv, image classification, scikit-learn, knowledge graphs, Azure OpenAI, VAEs, MLOps practices, model registry, Segmentation, Azure Blob, GANs, LLMs, Cognitive Services, generative models, retrieval-augmented generation, vector search engines, Monitoring, cloud-native AI environments, agentic AI systems, Azure AI services

data wrangling , Sql, Clustering, Predictive Modelling, Pandas, Numpy, Python, Gcp, feature engineering, scikit-learn, time series forecasting, algorithm selection, model evaluation, model tuning

Pyspark, Tensorflow, Pytorch, Flask, Python, AWS, Apis, Hadoop, Sql, Gcp, Spark, Databricks, FastAPI, Azure, data science techniques, decision science approaches, Statistical Modeling, ML services, multimodal AI, big data ecosystems, Generative AI, Agentic AI frameworks, LLMs, cloud platforms, Optimization Techniques, AI ML data science pipelines

Pyspark, Machine Learning, Clustering, Sql, MLops, Time Series, Databricks, Azure, Python, GenAI, Forecasting, Bayesian optimization, Optimisation, Statistical Quality Control, CI CD, Llm, Classification, prediction, Statistical Process Control, Operations Research

Tensorflow, Pytorch, Docker, Matlab, Python, Kubernetes, IBM CPLEX, MLflow, SciPy Optimize, R, Google OR-Tools, Gurobi

causal inference , Sql, Databricks, Predictive Modelling, Pyspark, Machine Learning, MLops, Clustering, Python, Azure, Optimisation, Time-Series Forecasting, Segmentation, GenAI, Uplift Modelling, Classification, Regression