Ojas Deshpande

Ojas Deshpande

Research Intern

Followers of Ojas Deshpande2000 followers
location of Ojas DeshpandeSeattle, Washington, United States

Connect with Ojas Deshpande to Send Message

Connect

Connect with Ojas Deshpande to Send Message

Connect
  • Timeline

  • About me

    Looking for May 2025 full time roles | CS grad @ Stony Brook | Ex-SAP

  • Education

    • Stony Brook University

      2023 - 2025
      Master of Science - MS Computer Science

      Fall' 22 Coursework: Distributed Systems, Deep LearningSpring' 23 Coursework: Network Security, Natural Language Processing

    • Manipal Institute of Technology

      2018 - 2022
      Bachelor of Technology - BTech Computer Science
  • Experience

    • The World Bank

      Apr 2021 - Nov 2021
      Research Intern

      • Analyzed the downstream effects of reforms implemented in Indian courts by scraping cases data through HTML files and matching companies to their actual names, resulting in identifying financial impacts for over 500 companies.• Utilized clustering and fuzzy matching techniques to solve a basic record linkage problem, reducing the computational load on a massive Indian cases dataset by 85%.• Used different NLP techniques to pre-process the data and made it optimal before applying the model on it to make predictions. These techniques helped me in achieving an accuracy rate of 95%. Show less

    • SAP

      Jan 2022 - Jul 2023

      Worked in SAP Analytics Cloud Integration team which helped to streamline communication between SAC and its various clients.

      • Associate Developer

        Jul 2022 - Jul 2023
      • Software Engineer Intern

        Jan 2022 - Jun 2022
    • Stony Brook University

      Jan 2024 - now
      Graduate Researcher

      Working with Professor Andrew Schwartz on converting large amounts of raw tweets stored in HDFS to contextual embeddings using Arrow Flight communicator for efficient data transfer over the network. Streamlined the feature extraction process with Spark MLlib, significantly improving the performance and scalability of big data analytics for mental health analysis at the county level.

  • Licenses & Certifications