Machine Learning Engineer - excellent software engineering skills: my main language is python and I am currently learning Rust. I used to work with R and MATLAB. - machine learning: knowledge of the standard ML methods (regression, tree-based, etc.) as well as deep learning (with a focus on NLP) - big data: I have used spark for model inference pipelines that process billions of events daily (batch processing) - Cyber Security knowledge.

Accomplished RD professional, engineer, data scientist, manager and inventor driving science and technology in digital health and life sciences using mathematical and computational models Python + JavaScript + TypeScript + Node.js + C++ + C + SQL + Many More #languages TensorFlow + Keras + Scikit-Learn + React + Material + Koa + Express + NumPy + Pandas + Plotly #libraries Agile + Node + Git + Docker + Travis CI + Linux + Bash + Flow + Sketch #development Diversity + Equity + Inclusion + Integrity + Education + Community #corevalues I thrive in collaborative environments with the ability to navigate complex projects; manage and mentor colleagues; and advance leading-edge technology and scientific knowledge. I hold a PhD and MS in Applied Mathematics as well as BS in Mathematics from the University of California, Davis.Subject Matter Expertise: Research, Healthcare Life Sciences, Computational Mathematics, Data Science, Artificial Intelligence (AI), Project Management, Team Leadership, and Communication.

I am a Computer Science Graduate Student with a focus on Distributed Systems, Backend Development, and Machine Learning. I have experience in developing and implementing Machine Learning solutions for Samsung Smartphones. At Samsung R&D Institute, Bangalore I worked under the Data Protocol team in 5G where I performed state of art research comprising machine learning, systems, and smartphones. I love building complex mathematical models and new features starting from blank whiteboards or early-stage prototypes and transforming them into something people really value. Competencies: Python, AWS, C/C++, Machine Learning, Keras, Google Cloud Platform, Deep Learning, Linux, AWS, Data Protocols.

Self taught jr data scientist from US, fluent in Mandarin Chinese, ethereum investor

A dedicated developer with a profound love for building cutting-edge machine learning models and mobile applications.

Final year Data Science and Artificial Intelligence engineering student. My main motivation is to deepen my knowledge to contribute to advancements in AI, and consequently to the well-being of society.

Data Scientist with 6+ years of experience in developing Data Products from ideation to production. Specialised in getting Machine Learning solutions to have actual impact, from buying industry standard products to implementing cutting edge Deep Learning papers. Collaborated with all levels of organisation to define their needs and foster a data informed culture throughout the company, passionate about cultivating interdisciplinary teams of Artificial Intelligence specialists, IT professionals and Business stakeholders.

My name is Riccardo, I earned a bachelor's degree in informatics with a Data Science curriculum and I am currently a master student in Artificial Intelligence. I will be doing my thesis abroad at TU Delft on eXplainable AI applied to transportation forecasting. Beyond technology, I am really interested in topics related to the sustainability of both people, animals and the environment.

I'm a passionate learner and very motivated to work across multiple technologies and innovative projects. That's why I am focussing my future career on Data Science and Software Engineering. As a results-driven, creative and approachable problem-solver I am consistent in pursuing the team objectives. In my free time, I acquired software development skills in PHP (Lamp stack) and Javascript technologies and used to work as a freelancer. In my jobs in financial contexts, I immersed myself in the Business Intelligence field and I decided to start a new stage in my life and enter completely the world of data and digital automation. Currently, I am specializing in Data Science, where I am working on projects with Python, SQL, Machine Learning, and Data Engineering. With my career background in Controlling, Corporate Finances, and Business Intelligence I have an eye on business needs and know how to realize complex projects on time, on budget, and on quality. I have been living and working in Europe and Latin America, that's why I am a good fit for any company with diverse and multicultural contexts or international projects. My tech skills: Programming: Python, PHP, Javascript, NodeJS, HTML, CSS Databases:: SQL, MySQL, MongoDB Data Science: Pandas, Numpy, Scikit-learn, Machine Learning Algorithms Frameworks & Tools: Flask, Django, Streamlit, Symphony, GIT, Trello, AWS Business Intelligence: Qlikview, PowerBI, Tableau, Looker Business Software: Google Suite, MS Office, SAP

I am a person who likes to learn new things every day, finish the tasks that I start and have new challenges. On every challenge, I try to do my best and not give up. I love using my programming and engineering skills to create some small applications to help people to improve their lives. I like exploring all IT fields (data science, big data, cybersecurity, IoT, cloud computing, DevOps, project management, etc...), so I am open to work on new software development projects of any scope in all its phases. I think that there is no better way to work than feeling comfortable and important in the company or team where I work. Then, I believe that a work is well done, when you feel proud of that work. In my opinion, good work starts with a good organization (plan). Respecting my way of working, I like reviewing/testing carefully the work done by my teammates or even myself. For me, the first reviewer of a task is the person who has done that task. Personally, I prefer quality over quantity. In this way, we will ensure that all the developed features work well, so we will have more loyal customers. This will save time for us in the future, even if we spend more time developing the features.