11/02/2024 updated
100 % available
Applied Data Scientist and Machine Learning Engineer
Indianapolis, USA
Worldwide
Master of Science in Applied Data ScienceHTMLJavaScriptAmazon Web ServicesData AnalysisComputer VisionAutomationCascading Style Sheets (CSS)Cloud ComputingComputer ProgrammingDatabasesControl SystemsApache HadoopPython (Programming Language)Machine LearningMongoDB
Machine Learning and Deep Learning
Expertise in developing and fine-tuning various machine learning and deep learning models, including LLMs, CNNs, and time series models for diverse applications such as natural language processing, computer vision, and predictive analytics.
Data Science and Analytics
Proficiency in data analysis, predictive modeling, and statistical techniques. Experience with tools like AWS, Neo4j, and Kronograph for data storage, management, and visualization.
Programming and Software Development
Strong programming skills in Python, with experience in frameworks like PyTorch, TensorFlow, and scikit-learn. Capable of developing full-stack applications integrating HTML, CSS, and JavaScript.
Cloud Computing
Proficiency in cloud platforms including AWS (Amazon Web Services), Google Cloud Platform, and VertexAI for deploying and scaling data science applications.
Database Management
Experience with various database systems including MySQL, MongoDB, and Hadoop for efficient data storage and retrieval.
Natural Language Processing
Expertise in NLP techniques, including the use of transformers like BART and NLTK for text summarization and entity recognition tasks.
Robotics and Automation
Knowledge in developing interfaces for multi-axis articulated robots and implementing automation protocols for robotic control systems.
Expertise in developing and fine-tuning various machine learning and deep learning models, including LLMs, CNNs, and time series models for diverse applications such as natural language processing, computer vision, and predictive analytics.
Data Science and Analytics
Proficiency in data analysis, predictive modeling, and statistical techniques. Experience with tools like AWS, Neo4j, and Kronograph for data storage, management, and visualization.
Programming and Software Development
Strong programming skills in Python, with experience in frameworks like PyTorch, TensorFlow, and scikit-learn. Capable of developing full-stack applications integrating HTML, CSS, and JavaScript.
Cloud Computing
Proficiency in cloud platforms including AWS (Amazon Web Services), Google Cloud Platform, and VertexAI for deploying and scaling data science applications.
Database Management
Experience with various database systems including MySQL, MongoDB, and Hadoop for efficient data storage and retrieval.
Natural Language Processing
Expertise in NLP techniques, including the use of transformers like BART and NLTK for text summarization and entity recognition tasks.
Robotics and Automation
Knowledge in developing interfaces for multi-axis articulated robots and implementing automation protocols for robotic control systems.
Experience
Professional experience0 - 5 years
Freelancer since2021
Project history
Conducted experiments with LLM techniques, developed NuNER encoder-based models, and optimized data processing using AWS and various tools.
Built multimodal Large Language Models, improved factuality consistency, and implemented multi-threading to enhance customer inquiry response times.
Developed user interfaces for multi-axis articulated robots, implemented SSH protocols, and created DAQ systems for robotic control.