Sql, Python, LLMs, prompt engineering

Pyspark, Machine Learning, Statistical Inference, Python, Sql, Data Analysis

Machine Learning, data analysis tools and techniques

Deep Learning, Sql, Neural Networks, Pandas, Decision Trees, Numpy, Python, XGBoost, Logistic Regression, feature engineering, Random Forests, scikit-learn, PSI, KS, F1, data preprocessing, model evaluation metrics, Ensemble techniques, Precision-Recall, Gini, Gradient Boosting models, Auc

Machine Learning, Hypothesis Testing, Sql, Tensorflow, Pytorch, Python, AWS, LangChain, MLflow, Scikit-Learn, SageMaker, OpenAI APIs, Kubeflow, Jupyter, Statistical Modeling

snowflake , Cassandra, Kafka, Tensorflow, Numpy, Pytorch, Docker, Flask, Python, Matplotlib, BigQuery, Apache Spark, Jira, Sql, Redis, Jenkins, Git, Gcp, Pandas, Databricks, Keras, Apache Beam, DataFlow, Azure, Kubernetes, Pub Sub, Kubeflow, Jupyter

Machine Learning, Data Mining, Sql, Deep Learning, Tensorflow, Nlp, MLops, Pytorch, Gcp, Docker, Azure, Python, AWS, Scikit-learn, Hugging Face, CI CD, Statistical Modeling, Large Language Models

Logistic Regression, k-means, Pyspark, Random Forest, Pca, Sql, Tensorflow, Pytorch, XGBoost, Python, AWS, SHAP, scikit-learn, Feature Engineering, GLM, Pricing Models

Python, Evaluation metrics for generative models, Fine-tuning techniques, LLM architectures, Model training pipelines