Algorithm Development, Machine Learning, Distributed Computing, Tableau, MATLAB, Sql, Predictive Analytics, Azure Cloud, MLops, Docker, Advanced Analytics, Spark, Kubernetes, Python, Forecasting, Optimisation, Ai, Statistics, Data processing platforms, Mathematical Modelling, CI CD pipelines

data wrangling , Tensorflow, Pytorch, Python, Statistical Process Control, Data Analysis, scikit-learn, predictive maintenance models, process optimization frameworks, R, Experimental Design, time-series analysis

AWS, Databricks, Mqtt, Amqp, Data Collection, GenAI use cases, ML models, OPC-UA, data models, retrieval-augmented generation, backend services, robotics telemetry, analytics layer, large language model, data pipelines, robotics data formats

Machine Learning, Google Cloud, Sql, Deep Learning, Sklearn, Tensorflow, Numpy, Pandas, MLops, Pytorch, Ibm, Docker, Azure, Python, Kubernetes, AWS, LLMOps tooling, Polars, Time-series Econometric modeling, Gen-AI applications

Power Bi, Tableau, Sql, Tensorflow, Numpy, Git, Gcp, Pytorch, Pandas, MLops, Docker, XGBoost, Azure, Python, AWS, Scikit-learn, Relational Databases

Machine Learning, Data Cleaning, Dashboards, Agile Project Management, Powerbi, Data Visualisation, Python, model deployment, pre-processing, data insights, data science models, data quality issues, R, interactive visualisations, statistical methodologies, Stakeholder Management, feature engineering

Scipy, Pyspark, Sql, Numpy, Git, Pandas, XGBoost, Python, hyper-parameter optimization, pipeline development, Visualization, Amazon Quick Sight, Data Processing, object-oriented programming, data platforms, CI CD, Scikit-Learn, Transformation, model validation, test-driven development, AWS SageMaker, data ingestion, feature selection

Ml, Data Mining, Sql, Advanced Analytics, Data Architecture, Python, Model Execution, Data Ingestion, Feature Engineering, Ai, Automation Pipelines, R, Decision-Making, Statistical Machine Learning

Data Science, Databricks, AWS, Robotics Data Formats, Ingestion Pipelines, Data Pipelines, Backend Services, GenAI Use Cases, data models

regression models , Machine Learning, Python, Power Bi, Unsupervised Learning, Sql, Deep Learning, Git, Databricks, Optimization, MLFlow, MLOps Tooling, Large Language Models, AI Orchestration, RAG Architectures, Prescriptive Analytics, AI Solutions, Agentic AI Frameworks, Model Explainability, Azure AI Services, supervised learning, Time Series Forecasting, Ensemble Methods, Microsoft Fabric, Prompt Engineering