Unsupervised Learning, Sql, Deep Learning, Pandas, Python, Computer Vision, Machine Learning, data mining, Data Visualization, supervised learning, Cloud-AI technologies, data management pipelines

render , Machine Learning, Docker, XGBoost, Python, Sql, Forecasting, LightGBM, Supabase, CatBoost

Sql, Data Manipulation, Git, MLops, Docker, Data Integration, Data Services, Rest Apis, Python, Kubernetes, Relational Databases, Azure Machine Learning Services, Unsupervised Machine Learning, SQL Optimization, ETL processes, Mathematical Modeling, Data Analysis, Statistical Modeling

Machine Learning, Personalization, Sql, Spark, Databricks, Rest Apis, Python, MLops, AWS Cloud platforms, Microservice-based model serving, Data Processing, collaborative filtering, Feature engineering, Recommendation Systems, Model training and evaluation, Ranking algorithms, ML pipelines, Batch inference, Hybrid recommendation systems

Machine Learning, Scala, Redshift, Big Data Technologies, Tensorflow, Jenkins, Kinesis, Pytorch, Spark, Keras, MongoDB, Python, Airflow, SparkML, Druid

Sql, Devops, Rest API Development, Cloud, FastAPI, Python, Model Context Protocol, Knowledge Management, PromptFlow, MLflow, Agentic AI LLM Platforms, AI Evaluation Frameworks, RAG, MCP

object tracking , Tensorflow, Pytorch, Opencv, Python, Video Processing, object detection frameworks, model evaluation, YOLO, model training, model optimization

Sql, Machine Learning, cloud, Gcp, Python, Statistics, Llm

BigQuery, Data Manipulation, Performance Monitoring, Sql, Compute Engine, Python, experiment tracking, CloudSQL, clustering techniques, machine learning pipelines, cloud platforms, anomaly detection, correlation analysis, Google VertexAI, Dash, Superset, feature extraction, Streamlit, ML frameworks, time series forecasting, hyperparameter tuning

BigQuery, Gcp, Spark, Apache Beam, Dataproc, DataFlow, Python, Sql, ELT, Etl, Cloud Data Engineering