Logistic Regression, Pyspark, Predictive Modeling, Machine Learning, Factor Analysis, Decision Trees, MLops, Python, Statistical Analysis, MMM Models, Principal Components, Pricing and Promotion Analysis, Association Rule Mining, Business Analytics, K-Nearest Neighbour, Unsupervised Learning Methods, Discriminant Analysis, Random Forests, Support Vector Machines, Marketing Analytics, Supervised Learning Methods, Time Series Forecasting, K-Means Clustering

Python, Pytorch, Tensorflow, Numpy, Pandas, scikit-learn

SAS, Python, Sql, quantitative modeling methods, R, AML risk models, AI ML model development

Pyspark, Machine Learning, Data Mining, Excel, Python, Sql, AWS, R, Rspark, Statistical Pattern Recognition

Python, MLOps practices, LLM architectures, fine-tuning techniques, evaluation metrics for generative models

Structured Query Language, Kubernetes, Python, large language models, Relational Databases, generative AI applications, data analysis techniques, automated build test and deployment pipelines, agent frameworks

bedrock , Java, Kafka, Tensorflow, Pytorch, Spark, Python, Kubernetes, AWS, Airflow, Triton Inference Server, NVIDIA DeepStream, TensorRT, Flink, Mask R-CNN, SageMaker, YOLO

data engineering , Data Analytics, Deep Learning, Tensorflow, Nlp, Pytorch, MLops, Azure, Python, AWS, cloud platforms, Data Communication

Sql, MLops, FastAPI, Python, Flask, Sqlalchemy, Agent Evaluation, RAG prompt engineering, GCP Cloud Platform, Agent Observation frameworks, CI CD, SQLModel, ApigeeX