Machine Learning, Pyspark, Kafka, Sql, Gcp, Spark, Azure, Devops Tools, Python, Computer Vision, Deep Vision algorithms, infrastructure automation, MLOps practices, model monitoring

Pyspark, Tensorflow, System Design, Python, Computer Vision, Recommendation engines, Generative AI, Vector DBs, Torch, Graph Knowledge Bases, Image Understanding models, Large-scale Search systems

Machine Learning, Tensorflow, Agile Development, Git, Pandas, Linux, Image Processing, Keras, Python, DCS Systems, API Services, Scikit-learn, Statistics, Dynamic Optimization

Tensorflow, Pytorch, MLops, Docker, Databricks, Keras, Azure, Kubernetes, Python, Delta Lake, MLflow

bayesian inference , Git, Statistical Inference, Docker, Maven, Apache Spark, Hypothesis Testing, Machine Learning Algorithms, Kubernetes, Python

regression models , snowflake , Unix, Github, Pyspark, Nlp, Pytorch, Python, AWS, Sql, Deep Learning, Git, Pandas, Linux, Decision Trees, Spark, Databricks, Azure, Matrix Factorization, VS Code, Content-Based Filtering, Time-Series Forecasting, Neural Collaborative Filtering, LLMs, Segmentation techniques, Scikit-learn, Unsupervised Clustering, collaborative filtering

Tensorflow, Pytorch, Power Bi, XGBoost, Tableau, Azure, Python, Sql, AWS, Machine Learning frameworks, Scikit-learn

Tensorflow, Machine Learning, Pytorch, Natural Language Processing, Apache Spark, Keras, Python, Sql, Hugging Face

probability , Predictive Modeling, Hypothesis Testing, Sql, Tensorflow, Pytorch, Gcp, MLops, Docker, XGBoost, Data Visualization, Azure, Kubernetes, Python, AWS, Scikit-learn, Statistics, R

Pyspark, Tableau, Python, Sql, AWS, Data Analysis, Data pipeline development