Ritvik Khandelwal Email & Phone Number

New York City Metropolitan Area

New York City Metropolitan Area

New York City Metropolitan Area

- Aided in the development of a Large Language Model (LLM) for medical purposes- Engineered a novel framework to conduct quantitative and qualitative evaluations of LLM’s for different capabilities- Developed an algorithmic impact reflection tool to guide data governance, curation and strategy, resulting in a reduction in toxicity and bias- Applied.

New York City Metropolitan Area

• Spearheaded a machine learning project aimed at enhancing success rates of infant lumbar puncture (LP) procedures, addressing a historical 60% failure rate, and reducing patient harm in febrile infants under 30 days old
• Established an ETL pipeline to assess algorithmic feature recognition against expert standards in ultrasound videos
• Identified critical anatomical structures in ultrasound videos by utilizing various Deep Learning models augmented withmedical image processing techniques to attain 92% accuracy and f1-score of 0.91

London, England, United Kingdom

As an undergraduate research intern at the Surgical Robot Vision Group of University College London, my research involved working on Surgical Workflow Analysis in Cataracts. Through this internship, I got exposure to a whole new domain of Data Science called Surgical Data Science.Key Contributions:- Improved the safety and efficacy of robotic surgeries by.

Mumbai, Maharashtra, India

During my stint as a research assistant at D.J.Sanghvi College of Engineering, I was not only responsible for assisting the Professor in his research but also conducted independent research in the domain of finance and healthcare.Key Contributions:-- Led a group of 4 to direct research pertaining to time series forecasting for long-term trends.- Analyzed.

Mumbai, Maharashtra, India

Mumbai, Maharashtra, India

Mumbai Area, India

Mumbai, Maharashtra, India

Completed a LIVE Project on "Data Analysis and IOT systems" where data was collected and analysed from machine sensors in real-time to deliver valuable insights thereby aiding in proper maintenance and continuous running of industrial machines.- Collected real-time data from 7 machine sensors and pushed these on Google Firebase (real-time database)..

IT internship

Master'S Degree, Data Science

- Applied Machine Learning - Exploratory data analysis and visualization - Algorithms for Data Science - Probability and Statistics - Deep.

3 Year Certification By Ibm In Collaboration With Djsce, Artificial Intelligence And Machine Learning, 9.81/10

Bachelor Of Engineering - Be, Electronics And Telecommunication, 9.14/10 (All 8 Sems Cgpa)

Activities and Societies: Senior Core Committee member of DJSCE IETE, Part of the college badminton team, Lead Vocalist of the college.

Hsc, 85%

Icse, 96% (2016 Boards)

- Awarded governor's gold medal for exceptional all rounder performance in 10th grade