causal inference , Distributed Computing, Deep Learning, Tensorflow, Pytorch, Data Science, Docker, XGBoost, Python, Machine Learning Algorithms, Data Analytics, Machine Learning, Natural Language Processing, Sql, Recommender Systems, Computer Vision, MLops, Predictive Modeling, Statistical Analysis, scikit-learn, model evaluation, probability statistics, Experimental Design, time-series analysis, cloud platforms, advanced statistical methods

Large Language Models (LLMs), Tableau, Tensorflow, Numpy, Pytorch, Docker, XGBoost, Python, AWS, Hadoop, Power Bi, Sql, Git, Pandas, Gcp, MLops, Spark, Azure, Predictive Maintenance, Optimization Techniques, Operations Research, Generative AI, Scikit-learn, Time-series forecasting

Java, Statistical Analysis, Optimization Algorithms, Machine Learning, Bash, Data Analytics, Unsupervised Learning, Python, R, supervised learning, Sampling algorithms

Machine Learning, Debugging, Python, Computer Vision, Robotic Simulation Environments, Representation Learning, Self-Supervised Training Methods, Model Training, Sim-to-Real Transfer, Contact-Rich Manipulation, Real-Time Control on Embedded Systems, Imitation Learning

data wrangling , Rsa, Qlik Sense, Agile Development Methodologies, Sql, Tensorflow, Data Visualisation, Pytorch, Docker, Kubernetes, Python, DevSecOps practices, Microservices Architecture

and Artificial Intelligence., data analytics., Data Science, Machine Learning, Statistical Modelling, Python

Tensorflow, Pytorch, Natural Language Processing, Statistical Analysis, Python, Clustering Algorithms, Time-Series Analysis, Graph Neural Networks, Similarity Metrics