Ritvik Khandelwal

Experience

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  Christy

  Jun 2019 - Jul 2019

  Intern

  IT internship

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  DJSCE IETE-ISF

  Jul 2019 - Apr 2021

  • Core Committee member

    Jul 2020 - Apr 2021

  • Co - Committee member

    Jul 2019 - Jul 2020
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  Ecosys Efficiencies Private Limited

  May 2020 - Jul 2020

  Data Analyst and Web Developer for IOT Systems

  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).- Fetched data from firebase for analysis in real-time.- Cleaned and analyzed data to identify opportunities for improving process efficiency.- Explored predictive modelling and statistical techniques to brainstorm production strategies for cost-cutting.- Displayed this data obtained from the 7 sensors graphically.- Developed a website to enable users to view the LIVE status of machines and thus keep a check on the status of motors. Malfunction in any motor was detected easily and the problem was solved without further delay or damage which increased machine life and prevented industries from complete shutdown thus optimising production.- Solved 86% of the malfunctions without delay or damage.- Designed a well-secured authentication system for the website for different types of users. Users were given a system-generated User ID and Password.Depending on the user level in the hierarchy of the company, they were given access to certain pages. Thereby, every employee can only view pages relevant to him and thus keep confidential data with higher-ups of the company. Show less

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  The Green Fuels

  Aug 2020 - Mar 2022

  Co-Founder
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  UCL

  Jun 2021 - Jan 2022

  Data Science Research Intern

  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 engineering a solution for identifying operating phases in Cataract surgeries.- Performed extensive data pre-processing and analysis to surmise potential problems faced during test time.- Developed an architecture to strengthen long-term information connection within an operation, thus overcoming previously existing methodologies.- Implemented the CataRCNet, which is based on the TMRNet, to accurately capture Spatio-temporal characteristics within an operation.- Obtained an f1-score of 0.7796 with end-to-end ResNet50 plus LSTM outperforming 8 other models.- Investigated the applicability of activity recognition models to achieve a promising accuracy of 0.8217. Show less

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  Dwarkadas J. Sanghvi College of Engineering

  Oct 2021 - Apr 2022

  Data Science Research Intern

  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 different models and finalised BiLSTM as it accomplished the best results with an RMSE of 0.773.- Assisted in carrying out a comparative analysis between ARIMA, LSTM, CNN, GAN, Bi-LSTM, and Sentiment Analysis to predict stock price movement on 20 years of stock data.- Ideated an NLP engine to accommodate the wide variation of medical terminology.- Authored a research paper published in IEEE International Conference of Advancement in Technology, 2022. Show less

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  Columbia University Irving Medical Center

  May 2023 - Nov 2023

  Data Science Research Scholar

  • 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 Show less

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  Elsevier

  May 2023 - Dec 2023

  Data Scientist

  - 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 sampling techniques to mitigate imbalance, thus improving relation extraction

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  Praxis Precision Medicines, Inc.

  Feb 2024 - now

  Data Scientist