Machine Learning, Python, Data Analysis, R, Statistical Modeling

data wrangling , Github, Sql, Git, Pandas, Time Series Analysis, Machine Learning Algorithms, Excel, Python, Forecasting, GitHub Actions, Statistical Regression Modeling

Minimum detectable effect (MDE) calculations, Scripting languages (e.g. Python), Data querying languages (e.g. SQL), Machine Learning, Data mining, Statistical Modeling, power analysis, Analytics techniques, Applied statistics, Experiment design, Large-scale analytics

supply chain planning , Neural Networks, Python, XG Boost, Statistical and machine learning algorithms, Custom EDA, Output Validations, Applied analytical methods, Scalable ML frameworks, Demand sensing, Feature engineering, Light GBM, Time Series Forecasting, CatBoost

Devops, Machine Learning, Software Development, Python Programming, Model predictive control, Industrial IoT, Optimization, Advanced process control systems, Surrogate modeling

Machine Learning, Hadoop, Deep Learning, Pytorch, Gcp, MLops, Spark, Azure, Python, AWS, Generative AI, Ai, R

probability , Hypothesis Testing, Clustering, Sql, Numpy, Pandas, Python, Scikit-learn, Statistics, Regression, Predictive models, Experimental Design, Classification, Model evaluation

Machine Learning, Hadoop, SAS, Sql, Hive, Spark, Spss, Matlab, Python, Map-reduce, R, S-PLUS

snowflake , Large Language Models (LLMs), Machine Learning, Tensorflow, Numpy, Pytorch, XGBoost, Python, Artificial Intelligence, Power Bi, Clustering, Sql, Deep Learning, Pandas, Azure, Search ? Match, Two-tower Architectures, Classification, Search ? Match ? Rank, Scikit-learn, Regression, Topic Modeling, Recommendation Systems, Transformer Architectures, CatBoost