project management, data science principles

Machine Learning, Big Data, Deep Learning, Optimization Techniques, Statistics

Machine Learning, Data Transformation, Automation, Python, Sql, GenAI, Applied Mathematics, Statistical Modeling, ETL processes, Data pipelines

Tensorflow, Distributed Computing, Pytorch, Predictive Modeling, Spark, Sql, Python, scikit-learn, Optimization, experimentation, Statistics

Ml, Recommender Systems, Machine Learning, Cpu, Gpu, Deep Learning, Computer Vision, Bayesian models, LLMs, generative AI, event driven architecture, Optimization, Statistics, statistical modelling techniques, deep neural networks

Pyspark, Machine Learning, Tableau, Artificial Intelligence, Sql, Python, Statistics

Keras, Natural Language Processing, Computer Vision, C Sharp, Tensorflow, Python, Pytorch, Javascript, Semantic reasoning, Unstructured data extraction, Knowledge Graph creation, Scientific Machine Learning, Scikit-Learn, Langchain, FEniCS, Data-driven decision science, Surrogate Modelling, Machine learning and Deep learning code development and deployment, Generative AI, Julia

data engineering , Machine Learning, Python, Sql, Predictive Model Evaluation, R, Model Monitoring, Statistics, Cloud Analytics Stacks

Data Cleansing, Predictive Analytics, SAS, Spss, Data Visualization, Python, R, data quality assessment, applied analytics, descriptive statistics