Machine Learning, Jira, Sql, Nlp, Gitlab, Python, UNIX command line, Statistics, Feature engineering, ML Ops, Agile workflows, Azure AI Search

Natural Language Processing (NLP), Model Context Protocol (MCP), Fine-tuning techniques for large language models (LLMs), Java, Machine Learning, Python, Transformer models, Generative AI, Generative AI technologies, Prompt engineering, LLM evaluation tools

Pyspark, Python, Airflow, RAG frameworks, LLMs, prompt engineering, Agentic AI, clinical trial data structures, R, Dagster, Kedro, ML frameworks

Tensorflow, Numpy, Pytorch, Flask, Python, Data Structures, Cuda, Sdlc, Deep Learning, Oop, Django, Git, Algorithms, Pandas, MLops, Opencv, Keras, Computer Vision, Vision Language Models, TensorRT, Model Evaluation, calculus, TF Serving, ONNX, ViTs, linear algebra, diffusion, GANs, Statistics, CNN based architectures, OpenVino

propensity modelling , Recommender Systems, Python, Visualizations, Forecasting, Lifetime Value Estimation, Modelling, Monitoring and maintenance, Customer Segmentation, Targeting, End-to-end data science pipeline, Marketing Mix Optimization, price optimization, Response to Incentives, Churn Modelling, R

data engineering , Data Transformation, Schema Design, Sql, Data Warehouse Concepts, Flask, Databricks, FastAPI, Python, Generative AI, Llm, R, Streamlit, data consolidation patterns

multinomial logistic regression, SAS, Tableau, Matlab, Sql, Python, R, AWS QuickSight, data pipelines, R Shiny

data preparation , model development , Machine Learning, Qlik Sense, Power Bi, Git, MLops, Gcp, Data Visualization, Python, Feature Engineering, Deployment, CI CD, Llm, Training, Cloud Platforms, Agentic AI

model selection , Nlp, Pyspark, Neural Networks, Python, Machine Learning, Google Cloud Platform, Classification, Data Text Mining, Big Data Platforms, Finetuning, Multi-modal Models, GPU/CPU Based Online Inferencing, LLM Gateways, Deep Neural Networks, Event Driven Architecture, Vector Databases, Optimization Methods, Embedding Generation, Model Deployment, Bayesian Models, Retrieval Augmented Generation, Prompt Engineering, Deep Learning Algorithms