07/18/2024 updated
100 % available
Machine Learning Engineer, Data Scientist, Research Scientist
Palm Harbor, USA
Worldwide
BSc, Computer Science, University of FloridaA/B TestingArtificial IntelligenceAlgorithm DesignAmazon Web ServicesData AnalysisSoftware ApplicationsMicrosoft AzureBig DataCloud ComputingCode ReviewData IntegrityData MiningWeb DevelopmentUser Interface DesignPython (Programming Language)PostgreSQLMachine LearningMongoDBMySQLNatural Language ProcessingNode.JsNoSQLTensorflowSentiment AnalysisSoftware EngineeringSoftware SystemsSQL DatabasesTableau (Software)Speech RecognitionData ProcessingFeature EngineeringChatbotsPytorchDeep LearningBackendKerasGitScikit LearnKubernetesFront End Software DevelopmentRestful ApiArtificial Intelligence Markup Language (AIML)Software Version ControlDocker
A/B testing, Algorithm Development, AWS, AI, Artificial Intelligence, back-end, large datasets, chatbots, cloud, code reviews, Data Analysis, data integrity, Data Mining, data processing, Deep Learning, UI Design, Docker, feature engineering, front-end, Front-End Development, Git, Computer Science, Keras, Kubernetes, machine learning, Machine Learning Algorithm, Azure, MongoDB, MySQL, Natural Language Processing (NLP), NoSQL databases, Node.js, PostgreSQL, Python, PyTorch, RESTful APIs, SQL, Scikit-learn, sentiment analysis, computer Applications, software development, App Development, software solutions, version control, speech recognition, Tableau, TensorFlow, Web Development
Languages
EnglishNative speaker
Project history
Led the development and deployment of machine learning *
* models for predictive analytics, achieving a 20% increase in
accuracy.
Utilized TensorFlow and PyTorch to build and train deep *
* learning models for image and speech recognition projects.
Implemented NLP techniques to develop chatbots and *
* sentiment analysis tools, enhancing customer engagement by
25%.
Collaborated with data engineers to preprocess and clean *
* large datasets, ensuring high-quality data for model training.
Conducted model evaluation and tuning to optimize *
* performance, reducing error rates by 15%.
* models for predictive analytics, achieving a 20% increase in
accuracy.
Utilized TensorFlow and PyTorch to build and train deep *
* learning models for image and speech recognition projects.
Implemented NLP techniques to develop chatbots and *
* sentiment analysis tools, enhancing customer engagement by
25%.
Collaborated with data engineers to preprocess and clean *
* large datasets, ensuring high-quality data for model training.
Conducted model evaluation and tuning to optimize *
* performance, reducing error rates by 15%.
Developed and deployed machine learning models for fraud *
* detection, reducing false positives by 30%.
Implemented data preprocessing and feature engineering *
* techniques to improve model performance.
Utilized cloud platforms (AWS, Azure) for scalable model *
* training and deployment, reducing computational costs by
20%.
Collaborated with software engineers to integrate machine *
* learning models into production environments.
Conducted A/B testing to validate model performance and *
* make data-driven improvements.
* detection, reducing false positives by 30%.
Implemented data preprocessing and feature engineering *
* techniques to improve model performance.
Utilized cloud platforms (AWS, Azure) for scalable model *
* training and deployment, reducing computational costs by
20%.
Collaborated with software engineers to integrate machine *
* learning models into production environments.
Conducted A/B testing to validate model performance and *
* make data-driven improvements.
Analyzed large datasets to uncover trends and patterns, *
* providing actionable insights for business strategies.
Developed predictive models using Scikit-learn, achieving *
* high accuracy rates in various applications.
Utilized SQL and NoSQL databases for efficient data *
* storage and retrieval, ensuring data integrity.
Visualized data insights using tools like Tableau and Power *
* BI, facilitating stakeholder understanding.
Collaborated with cross-functional teams to ensure data *
* quality and consistency across projects.
* providing actionable insights for business strategies.
Developed predictive models using Scikit-learn, achieving *
* high accuracy rates in various applications.
Utilized SQL and NoSQL databases for efficient data *
* storage and retrieval, ensuring data integrity.
Visualized data insights using tools like Tableau and Power *
* BI, facilitating stakeholder understanding.
Collaborated with cross-functional teams to ensure data *
* quality and consistency across projects.