Nihar Sheth
Building Novel AI Applications in Healthcare | NLP & Clinical Intelligence | Senior Data Scientist
- Role
- Senior Data Scientist at Imaginesoftware Technology Partners, Llc
- Location
- Weehawken, NJ, US
- LinkedIn followers
- 500 followers
About Nihar Sheth
I am an Engineer with a passion for technology and innovation, specializing in Machine Learning particularly natural language processing(NLP) and computer vision (CV). I believe responsible use of data for creating intelligent systems. I work full time as a Machine Learning Engineer but I free-lance from time to time.Here are some key points about me: Approximately 4 years of ML experience during which, built deep learning models using multi-modal data like text, time series and images. Rich experience in maintaining and deploying ML pipeline in Amazon Web Services(AWS) and Google Cloud Platform(GCP). Strong team player with successful collaborations with researchers, healthcare professions, business professionals and engineers. Ability to integrate technologies such as mixed reality, mechanical design, 3D printing through software engineering.I am an active member of the ML community and take interest in upcoming technologies. When I am not working I love spending my time cooking food inspired form my sweet childhood memories of the Indian kitchen. As a result I relish creating fine recipes and hosting dinners for friends and foes alike.Please feel free to contact me at n••••••••@gmail.com
Experience
Senior Data Scientist
Imaginesoftware Technology Partners, Llc
Jan 2026 — Present
Design, develop, and deploy end-to-end data science solutions (from problem framing to production). Apply advanced statistical modeling, machine learning, and/or deep learning techniques to solve complex business problems. Lead feature engineering, model selection, hyperparameter tuning, and evaluation.Translate ambiguous business problems into well-defined analytical and modeling tasks. Partner closely with product managers, engineers, clinicians/domain experts, and leadership. Quantify business impact using metrics, experiments, and causal inference where appropriate. Act as a technical lead on data science initiatives.Mentor and guide junior and mid-level data scientists. Set best practices for modeling, experimentation, and code quality. Review code, models, and analyses produced by others.
Education
Maharashtra Institute of Technology
Bachelor's in Engineering, Mechanical Engineering
2008 — 2012
University of Illinois Chicago
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering
University of Illinois Chicago
Master's degree, Mechanical Engineering
2012 — 2014
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