Statistical Analysis, Data mining, Clustering, Autoencoders, Machine Learning, Predictive Modelling, Dimensionality reduction, Ai, Linux experience, Outlier detection, Applied statistics, Semi-supervised methods

Logistic Regression, Decision Tree, Linear Regression, Svm, scrapy, Pca, Sql, Random Forest, Nosql, Neural Network, Pandas, Gcp, Numpy, Spark, Azure, Python, AWS, scikit-learn, K-mean Clustering, R, scapy, BERT

Github, Machine Learning, Tensorflow, Numpy, Pandas, Azure Functions, MLops, Pytorch, Docker, XGBoost, Databricks, Azure Machine Learning, Python, Kubernetes, Azure DevOps, scikit-learn, LightGBM, MLflow, Azure Container Apps, Azure Monitor, Application Insights

Predictive Modeling, Machine Learning, Power Bi, Hypothesis Testing, Tableau, Sql, Gcp, Data Visualization, Azure, Python, AWS, Forecasting, Feature Engineering, model validation, Statistics

statistical data analysis , Data Manipulation, Machine Learning, Sql, Python Programming, Clustering, Software Development Methodologies, Project Delivery, UNIX command line, Agile development practices, anomaly detection, Classification, ML Ops, model evaluation, Azure AI Search, feature engineering

Hypothesis Testing, Machine Learning, Performance evaluation, Generative AI, Model monitoring, Data Analysis, Prompt engineering, Autonomous workflows, Feature engineering, Statistical Modeling, Experimental Design, Model explainability, AI agents, Multi-agent systems

data engineering , advanced Excel, databricks, Data Visualization, Qlikview, Python, Sql, Relational Databases, scenario analysis, AI-driven analytics, ETL processes

Sql, Nlp, Nltk, Pytorch, Gcp, MLops, Spark, Azure, Python, AWS, Scikit-learn, Airflow, Transformer-based models, GPT, BERT

Python, Distributed Systems, Pytorch, MLops, Spark, Sql, Computer Vision