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

Logistic Regression, Cluster Analysis, Predictive Modelling, Random Forest, Python, Multivariate regression models, R, Ada-Boost, Statistical Machine Learning, Statistical tools and techniques

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

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

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

Dashboards, Machine Learning, Data Science, data mining, Etl, power analysis, Statistical Modeling, causal models, analytics techniques, Reporting

Java, Rust, Jax, Pytorch, Docker, Python, Kubernetes, Airflow, Go