A Center of Excellence for Translational Data Science
Translational data science is an emerging field where GradValley applies data science principles, techniques and technologies to the problems posing scientific challenges that hold the promise of having an important business and associated societal impact. GradValley focus on expanding academic research and industry expertise, and how this very different expertise can cooperate and partner toward better outcomes in addressing those challenges. We enable data-driven discovery and solutions by leading the technological advancement in application and development of data science & machine-learning techniques. Our role is also educational in achieving this mission. We build a community of data scientists who will be equipped to understand the problem statement, analyse, develop and deliver solutions, leveraging the hands-on learning and acquired AI/ML skills to address real-life and social challenges. We are focussed and working on three themes, Human Resources, Drug Development and Personal Medicine.
A Full-Stack Solution for Data Science
Data Science Fellowship
The GradValley Data Science Fellowship program is to train aspiring data scientists to work on data mining, machine learning, and data science projects with business and social impact. Working closely with the businesses, governments and nonprofits, fellows take on real-world problems in education, health, energy, public safety, transportation, economic development, international development, and any other domains that come into importance.
For three months they learn, hone, and apply their analytical and coding skills on training projects, collaborate in a fast-paced environment, and learn from mentors coming from industry and academia. Next three months they will be on a paid internship to build and work on live data science projects from partnering industry, conduct data science workshops, hackathons or code days for the future aspirants. At the end of the program, fellows are potentially hired by the industry partners.
Engage with the fellows of our Data Science (AI/ML) Fellowship Program. Meet the brightest minds leaving academia or in the early stages of their career who are not yet on the market for Data Science. We accept fewer than 10% of our advanced-degree or bright mind applicants who are then trained to deliver the best.
If you are convinced with the strength of our fellows' cohort, bring your use cases, or projects whether its live, production or PoC. Match the fellows suitable for your projects and work with them during the course of the fellowship program that lasts for six months, three months training and three months of paid internship. It is free to see their resumes, professional strengths, review their codes, examine projects, attend training events, meet the fellows, conduct interviews and even engaging them for any of your projects and use cases during the program. There is a fee only for hiring the fellows after they graduate from the fellowship program.
Professional Development Programs
GradValley offers online live and online self-paced Data Science Professional Development Programs in Big Data Engineering, Big Data Analytics, Artificial Intelligence, and Machine Learning. The program curriculum is designed by data science practitioners in the industry and is endorsed by IBM. The curriculum also aligns with the Data Science Council of America (DASCA) professional certifications for the aspirants and professionals working or looking forward to a career transition across the spectrum of emerging data science professions. The students will be trained and mentored by industry-experienced instructors and mentors that will give an immersive learning experience.
SmartLab AI offers researchers and technocrats a unique and smart access to a variety of big data and deep learning technologies. The platform connects industries, academic researchers, fellows, and startups to collaborate closely to find hidden values in big data to generate intelligent solutions or products. The state-of-the-art AI Lab is scalable for the project needs. The shared, cloud-based lab infrastructure enables and guarantees sustainable investment and achieve smart business solutions at a fraction of the cost to all business partners.