Retrieval-Augmented Generation (RAG), Statistical Analysis, Sql, Python, ML Operations, Generative AI, Metadata filters, Vector databases, Chunking, and pre-processing, Embeddings, R, LLM Operations, Data Collection, Fine-tuning, Data science pipelines, Cleaning

causal inference , Sql, Data Modeling, automation, Python, Data Processing, Forecasting, Simulation, anomaly detection, LLM-powered agents

Retrieval-Augmented Generation (RAG), Python, Sql, ML Operations, Generative AI, R, LLM Operations, Embeddings, Metadata filters, Vector databases, Chunking, Data Collection, and pre-processing, Data science pipelines, Cleaning

data preparation , Python, Sql, Software Development, Exploratory Data Analysis, Analytics solution development, Machine learning techniques, model validation, R, Statistical Modeling, Feature engineering, Large-scale data processing, Analytics workflows

object detection , Python, Keras, Sql, Statistical Modelling, Machine Learning, Computer Vision, Deep Learning, Tensorflow, Nosql, Data mining, Pytorch, Segmentation, Image signal data processing, Model deployment, Signal data pattern recognition, R, Image classification

causal inference , Distributed Computing, Deep Learning, Tensorflow, Pytorch, Data Science, Docker, XGBoost, Python, Machine Learning Algorithms, Data Analytics, Machine Learning, Natural Language Processing, Sql, Recommender Systems, Computer Vision, MLops, Predictive Modeling, Statistical Analysis, scikit-learn, model evaluation, probability statistics, Experimental Design, time-series analysis, cloud platforms, advanced statistical methods

Pytorch, Python, Technical Documentation, Deep Learning, Computer Vision, C++, Gpu, Data preprocessing, Model training, Text processing