Data Science, Data Management, Debugging Techniques, Data Analysis, Modeling, Statistical Techniques

snowflake , Machine Learning, Hadoop, Sql, Nlp, Clustering, Python, deep learning algorithm, Spark-ML, nonparametric Bayesian modeling, Multivariate A-B testing, recommendation algorithm, Experimental Design

Sql, Numpy, Seaborn, Git, Pandas, Gcp, Opencv, Matplotlib, Databricks, Python, AWS, AutoGluon, scikit-learn, Mosaic ML, MLflow, H2O.ai, YOLO, Azure services, AutoML

data engineering , Machine Learning, Pyspark, Azure Databricks, ELT, Deep Learning, Tensorflow, Nlp, Azure Data Factory, Pytorch, Docker, Kubernetes, Python, Etl, GCP AI ML, scikit-learn, Data Pipelines, AI ML Workflows, anomaly detection, Data Lakehouse Architectures, AWS Sagemaker, Delta Lake

data mining, Python, ad hoc programming, Microsoft Office Applications

prophet , Tensorflow, Pytorch, Etl Tools, Python, Hadoop, Neural Nets, Hive, Arima, Spark, Keras, Clustering, heuristic LP, Simulation, anomaly detection, machine learning techniques, R, Market Intelligence, stochastic models, Map Reduce, GA, SQL databases, Gurobi, time series forecasting, exponential smoothing, o9 platform, ensemble learning, time series optimizations, Regression, feature engineering

Machine Learning, Nlp, Data Mining, Apache Spark, Information Retrieval, Python, Statistical Analysis, Deep Learning

regression models , snowflake , Unix, Github, Pyspark, Nlp, Pytorch, Python, AWS, Sql, Deep Learning, Git, Pandas, Linux, Spark, Decision Trees, Databricks, Azure, VS Code, Matrix Factorization, Content-Based Filtering, Time-Series Forecasting, Neural Collaborative Filtering, LLMs, Segmentation techniques, Scikit-learn, Unsupervised Clustering, collaborative filtering

Sql, Logistic Regression, Deep Learning, Kubernetes, Python, Docker, LLM orchestration, Classification, model evaluation frameworks, anomaly detection, time-series forecasting