14.10.2025 aktualisiert
100 % verfügbar
Data Analyst & AI Engineer with 3+ years experience in ML pipelines and data visualization
Overland Park, USA
Weltweit
Master's Degree: Data Science and AI (in progress)Über mich
I’m naturally curious and not afraid to take on the unknown. I enjoy learning by doing and stay excited through every challenge.
Skills
JavaKünstliche IntelligenzAlgorithmusAmazon Web ServicesData AnalysisKünstliche Neurale NetzwerkeMicrosoft AzureBusiness IntelligenceClusteranalyseInformation EngineeringETLDatensicherheitDatenvisualisierungForecastingR (Programmiersprache)PythonPostgresqlLogistische RegressionMachine LearningMongodbMysqlPower BiCloud-ServicesTensorflowSoftwareentwicklungSQLStakeholder ManagementTableauUnstrukturierte DatenWorkflowsDatenverarbeitungPytorchTransfer LearningDeep LearningKerasXgboostRecurrent Neural NetworksAdministration von DatenbankenDatabricksProgramming Languages
Machine Learning & AI
Development and deployment of end-to-end ML pipelines using Python and AWS SageMaker, with expertise in classification, clustering, and forecasting models using algorithms like Logistic Regression, XGBoost, and LSTM.
Data Visualization & Analytics
Creation of interactive dashboards in Tableau and Power BI to communicate complex AI-driven insights to stakeholders, enabling faster and more informed business decisions.
Data Engineering
Building and maintaining ETL pipelines using Python, SQL, and cloud services, ensuring clean, consistent, and timely data for reporting and analytics.
Programming Languages
Proficiency in Python, Java, R programming, and SQL for data manipulation, analysis, and application development.
Cloud Services
Experience with AWS and Microsoft Azure environments, supporting scalable data workflows and secure data handling practices.
Database Management
Knowledge of MySQL, PostgreSQL, and MongoDB for structured and unstructured data storage and retrieval.
Deep Learning
Implementation of neural networks and transfer learning using frameworks like TensorFlow, PyTorch, and Keras.
Business Intelligence
Expertise in DataBricks, Tableau, Power BI, and Retool for creating business intelligence solutions and data-driven insights.
Development and deployment of end-to-end ML pipelines using Python and AWS SageMaker, with expertise in classification, clustering, and forecasting models using algorithms like Logistic Regression, XGBoost, and LSTM.
Data Visualization & Analytics
Creation of interactive dashboards in Tableau and Power BI to communicate complex AI-driven insights to stakeholders, enabling faster and more informed business decisions.
Data Engineering
Building and maintaining ETL pipelines using Python, SQL, and cloud services, ensuring clean, consistent, and timely data for reporting and analytics.
Programming Languages
Proficiency in Python, Java, R programming, and SQL for data manipulation, analysis, and application development.
Cloud Services
Experience with AWS and Microsoft Azure environments, supporting scalable data workflows and secure data handling practices.
Database Management
Knowledge of MySQL, PostgreSQL, and MongoDB for structured and unstructured data storage and retrieval.
Deep Learning
Implementation of neural networks and transfer learning using frameworks like TensorFlow, PyTorch, and Keras.
Business Intelligence
Expertise in DataBricks, Tableau, Power BI, and Retool for creating business intelligence solutions and data-driven insights.
Sprachen
EnglishverhandlungssicherHindiverhandlungssicherSpanishGrundkenntnisse
Projekthistorie
Developing and deploying end-to-end machine learning pipelines using Python and AWS SageMaker. Building and fine-tuning ML models for classification problems. Creating interactive Tableau dashboards to communicate AI-driven insights.
Implemented and scaled ML pipelines on AWS SageMaker, Lambda, and Redshift. Analyzed banking data using SQL to extract customer insights. Designed interactive dashboards in Power BI and Tableau. Built ETL pipelines and developed predictive models for customer behavior forecasting.