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

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

Hypothesis Testing, Sql, Pandas, Gcp, Docker, Azure, Python, AWS, Logistic Regression, Shiny, scikit-learn, APIs in R, mixed-effects models, R, Bayesian Methods, Statistical Modeling, data.table, tidyverse, time-series analysis

Machine Learning, Power Bi, Databricks, Tableau, SageMaker, Vertex AI, CI CD pipelines, MLOps frameworks, cloud AI platforms, LLM orchestration

Pyspark, Scala, Sql, Tensorflow, MLops, Pytorch, Docker, Spark, Flask, Python, PEFT, CNNs, Transformers, RAG, Vision Transformers, Large Language Models

Ml, Deep Learning, MLops, Python, Algorithms, data structures, generative AI architectures, LLMs, GANs, Transformer-based networks, Ai, DL, SLMs, autoregressive models, Variational Autoencoders, reinforcement learning, RAG, Agentic AI, RL, modern AI frameworks, Generative AI

Python, Statistical Modelling, Machine Learning, SQL/NoSQL, ML algorithms, big data concepts

Machine Learning, Nlp, Python, Sql, Data Visualization, Hadoop, Cassandra, Apache Spark, Clustering, Tensorflow, Gcp, Pytorch, Docker, Neo4j, Azure, Kubernetes, AWS, CRISP-ML Q, TDSP, Regression, Dimensionality Reduction, Classification

Data Scientist, Python