programming (Python/R), Statistical Analysis, Machine Learning, data mining, Data Visualization, Advanced data modeling

Open Source, Machine Learning, Big Data, Python, LLMs, Numerical programming frameworks, Generative AI models, Advanced data analysis techniques

Data Management, Java, Analytical Frameworks, Data Cleaning, Data Science, data structures, Python, advertising optimisation, query languages, distributed databases, quantitative analytical frameworks, Customer Segmentation, predictive models, data reporting

Microservices, Unix Shell Scripting, Numpy, Aws Ec2, Gitlab, Python, Sql, Jenkins, Pandas, DevOps methodologies, Prompt engineering, scikit-learn, Safety frameworks, Semantic search systems, Hugging Face, Bias mitigation, Diffusion models, LangChain, LLMs, Vector databases, Server-side APIs, In-context learning, Responsible AI, LlamaIndex, Transformer architectures, Model evaluation

Time Series Analysis, Data Cleaning, Sql, Powerbi, Machine Learning, Databricks, Predictive Modeling, Azure Machine Learning, Python, Generative AI, Forecasting, Azure Cloud tools, quantitative modeling, Data quality management, Data Science modeling, Feature engineering, Data Robot, Agentic AI

Jax, Tensorflow, Deep Learning, Recommender Systems, Nlp, Hive, Pytorch, Spark, Python, embeddings, fine-tuning, Transformers, pre-training, LLMs, Flink, prompt engineering, LLM applications, large-scale data processing, sequential models, RAG, PEFT methods

JIRA, Sql, Git, Confluence, Flask, FastAPI, Python, Agile SDLC, tool function calling, LLMs, prompt engineering, Streamlit, agentic frameworks

Google Cloud Platform, Sql, Tensorflow, Numpy, Pandas, Pytorch, MLops, Docker, Keras, Azure, Python, Kubernetes, AWS, Etl, Scikit-learn

data engineering , Machine Learning, Artificial Intelligence, Scala, Sql, Data Quality, Data Science, Data Governance, Data Analytics, Python, Recruiting, Visualization, Fraud, Statistics, Stakeholder Engagement, Mes