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

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

Tensorflow, Hive, Hadoop, Pytorch, Docker, Kubernetes, Python, Sql, Deep Learning, GenAI, LLMs

Pyspark, Machine Learning, Regression Analysis, Azure Databricks, Statistical Modelling, Python, GLM Pricing Models, scikit-learn, MLlib, h2o, Data Analysis

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

Docker, Gitlab, Python, AWS, MLops, Gcp, Databricks, Devops Tools, Azure, Kubernetes, AWS Bedrock, MLflow, vector databases, Pinecone, Azure OpenAI, LangGraph, Deep Learning Frameworks, GCP Vertex AI, NLP techniques, Generative AI models, LangChain, prompt engineering, SageMaker, Agentic AI, FAISS, Weaviate

Matplotlib, Predictive Modeling, Power Bi, Tableau, Sql, Tensorflow, Numpy, Git, Pandas, Pytorch, Version Control Systems, Machine Learning Algorithms, Statistical Analysis, Python, data preprocessing, NoSQL databases, Scikit-learn, Data Mining Techniques, ETL processes

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