About
Siddharth Chamarthy is an accomplished Engagement Manager at DIA Associates in Brooklyn, New York, where he focuses on leveraging machine learning to derive strategic insights from data. With a Master of Science in Mechanical Engineering from Columbia University, Siddharth specializes in predictive analytics, notably enhancing marketing strategies for sports organizations by categorizing fans based on their engagement and preferences. In his current role, he oversees complex data ingestion and database management projects, demonstrating strong technical skills in programming and robotics, particularly with Arduino. Prior to DIA Associates, he spent over four years as a Research Engineer at Quadrus Medical Technologies, where he led the development of innovative medical products, including a kidney injury prediction algorithm and an emergency ventilator. His work resulted in significant advancements in predictive healthcare technologies, achieving impressive accuracy rates in clinical predictions. Siddharth is also an active member of the IEEE EMBS, contributing to the Technical Committee on Cardiopulmonary Systems and Physiology-Based Engineering. His diverse skill set encompasses data analysis, system integration, and the development of advanced analytical solutions, which he applies to support both organizational goals and client needs. With over 1,249 connections on LinkedIn, Siddharth actively engages with the professional community, celebrating achievements and fostering collaboration. His commitment to innovation and excellence positions him as a key player in the intersection of technology, healthcare, and data analytics.
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Experience
Engagement Manager
DIA Associates, USA
Feb-2023 to PresentEducation
Publication
A proposal for a correlation to calculate pressure drop in reticulated porous media with the help of numerical investigation of pressure drop in ideal...
This paper presents a numerical investigation to estimate pressure drop in fluid flow through reticulated ideal and randomized porous structures. The 3D open-cell foam geometries are constru...
Gait Adaptation Using a Cable-Driven Active Leg Exoskeleton (C-ALEX) With Post-Stroke Participants
Individuals with chronic hemiparesis post-stroke exhibit gait impairments that require functional rehabilitation through training. Exoskeletal robotic assistive devices can provide a user wi...
Projects
Surgical Instrument Delivery Device [S.I.D.D.] - Robot Manipulation Project
Certificates
- By : CITI Program
- Event : Massachusetts I...
Data or Specimens Only Research
Scholar9 Profile ID
S9-102024-0406188
Publication
(3)
Article Reviewed
(49)
Citations
(52)
Network
(1)
Conferences/Seminar
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