object detection , Deep Learning, Tensorflow, Git, Pytorch, MLops, Opencv, Image Processing, Keras, Python, Computer Vision, Performance Optimization, Transfer Learning, image segmentation, Model Fine-Tuning, ML Model Evaluation, Image Classification

Natural Language Processing, UNIX, Deep Learning, Tensorflow, Pytorch, MLops, Linux, Databricks, Python, Computer Vision, AI security compliance, RNNs, Azure cloud ecosystem, transfer learning, prompt engineering, LangGraph, transformer architectures

tokenization , Machine Learning, Natural Language Processing, SAS, Data Modeling, Sql, Deep Learning, Pandas, Hive, Numpy, Spark, Python, NLP based n-grams methodology, Data Analysis, AI techniques, statistical models, fuzzy matching, Sanctions Screening, phonetics, name-matching, similarity scoring, R

Java, Tensorflow, Machine Learning, Pytorch, Hadoop, Spark, Keras, Python

BigQuery, Machine Learning, Predictive Analytics, Sql, Azure Data Factory, Gcp, Databricks, Azure Machine Learning, Azure, Python, customer analytics, Vertex AI, Statistical Modeling

Github, Machine Learning, Databricks, Sdtm, Python, Sql, Deep Learning, R, cdisc, Statistical Modeling, ADAM

Gcp, Apis, Azure, Python, AWS, Agentic AI, modern orchestration frameworks, vector databases, Prompt Engineering

Sql, Python, LLMs, prompt engineering

Sql, Numpy, Pandas, Python, Generative AI, LLMs, agent-based AI solutions, Scikit-learn, Cloud-based data science platforms, MLOps practices, Data visualisation and storytelling tools, Machine learning techniques, RAG architectures

Machine Learning, Python, Sql, experimentation, Statistical Modeling, Business Analysis