google apps script , React, Restful Apis, Python

Git, Machine Learning, Predictive Modeling, Python, Sql, Data Analysis, Visualization, Performance Tracking, experimentation frameworks, MLflow

Machine Learning, Scipy, Natural Language Processing, Data Science, Numpy, Pandas, MLops, Docker, Python Programming, Predictive Modelling, Rest Apis, AWS, Similarity algorithms, Scikit-learn, Statistics, Fraud Detection, anomaly detection, Multilingual NLP, NLP text processing, ML model deployment, Entity matching

Gcp, MLops, Python Programming, Azure, AWS, data pipelines, cloud-based AI ML services

Sql, Tensorflow, Git, Pytorch, Docker, Kubernetes, Python, prompt evaluation methodologies, scikit-learn, LLM prompt engineering, CI CD workflows, MLflow, context engineering

Machine Learning, Artificial Intelligence, Scala, Text Mining, Deep Learning, Tensorflow, Nlp, Pytorch, MLops, Python, Model Evaluation Techniques, Interpretability Techniques, Transformer-based Models, Model Explainability, versioning, Vector Databases, Embeddings, Model Monitoring

Tensorflow, Numpy, Git, Pandas, Pytorch, Gcp, Docker, Matplotlib, Azure, Kubernetes, Python, AWS, Airflow, scikit-learn, HuggingFace, MLflow, ML pipelines, Kubeflow

Pyspark, Machine Learning, Cicd, Databricks, Azure, Python, Time Series Forecasting, ADF pipelines, Demand Forecasting

Machine Learning, Deep Learning, Data Science, Python, Generative AI, explainable AI, Forecasting, ML libraries, model evaluation, Statistical Modeling, time-series analysis, cloud-based ML platforms

Large Language Models (LLMs), Matplotlib, Machine Learning, Deep Learning, Tensorflow, Numpy, Pandas, Pytorch, MLops, Python, AWS, Generative AI, RNNs, Hugging Face Transformers, Scikit-learn, CNNs, CI/CD pipelines, GPU-accelerated computing, Transformers