Deep Learning, Nlp, Machine Learning, MLops, data preprocessing, Cv, model training, retraining, feature engineering, Monitoring, model serving

Data Science, Python, Cloud computing platforms, R, Machine learning frameworks and libraries, Deep learning architectures

prophet , Azure Databricks, Knn, Random Forest, Nosql, Seaborn, Numpy, Docker, Python, Azure DevOps, Logistic Regression, Sql, Git, AR, Pandas, Azure Data Factory, Arima, scikit-learn, MLflow, ARMA, Matrix Profile, Azure Cloud Ecosystem, pyarrow, plotly, Azure Data Explorer, Azure Machine Learning Service, Kusto, Hive Metastore, Time Series Forecasting Models

Unix, Python, Devops, Automation Frameworks, AI models, Data quality concepts, GitHub Copilot

Tensorflow, Performance Tuning, Opencv, Rest Apis, Deep Learning, Ocr, Pytorch, Machine Learning Algorithms, Google Cloud, AWS, Python, Azure, Docker, Generative AI, LLMs, feature engineering, data preprocessing, Tracking, parallelization, multimodal models, RAG, YOLO, Segmentation, ML Ops, GPU optimization, TensorRT, ONNX, distributed low-latency data pipelines, RTSP streaming video pipelines, Classification, detection, multi-object detection

Pyspark, Kubernetes, Docker, Python Programming, ML algorithms and statistics, Deploying ML models into production, AWS or GCP cloud