Skip to content
View poorva9's full-sized avatar
1 follower · 0 following

Block or report poorva9

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
poorva9/README.md

Poorva's GitHub Projects

Welcome to my GitHub profile! I'm Poorva, a passionate Data Scientist and Analyst with expertise in machine learning, data analytics, and computer vision. Below, you'll find a summary of my education, work experience, projects, and skills.

📚 Education

National University of Singapore (NUS)

  • Degree: Bachelor of Science - Honours in Data Science and Analytics
  • Period: Aug 2020 – June 2024
  • Relevant Coursework:
    • Machine Learning
    • Natural Language Processing
    • Convex Optimization
    • Bayesian Statistics
    • Database Systems
    • Big Data Systems in Data Science

💼 Work Experience

Data Analytics Intern, foodpanda, Singapore

  • Period: Jan 2024 – Present
  • Utilized Google BigQuery for in-depth analysis and feature enhancement.
  • Engaged with stakeholders to improve rider app compliance and performance.

Computer Vision Intern, Cynapse, Singapore

  • Period: May 2023 – Aug 2023
  • Enhanced I3D Action Recognition and YoloV7 pose estimation models.

Data Management Intern, KPMG, Singapore

  • Period: Aug 2022 – Dec 2022
  • Developed data pipelines and improved data governance processes.

🚀 Projects

SCICITE: Citation Intent Classification

  • Period: Feb 2023 – May 2023
  • Implemented BERT models for scientific document processing.
  • Achieved an F1-Macro score of 85.6% using AllenAI SciBert.

Implementing Neural Bayes Estimators

  • Period: Oct 2023 – Apr 2024
  • Explored neural estimators in likelihood-free inference.

Construcshare E-Commerce Simulation

  • Period: Feb 2023 – May 2023
  • Simulated user behavior for feature development using Mesa.

🛠 Skills

Technical Skills:

  • Machine Learning: NLP, Computer Vision, Deep Neural Networks
  • Data Analytics: Statistical Analysis, Visualization, Data Cleaning
  • Programming Languages: Python, R, SQL, Julia, Java (beginner)
  • Tools & Frameworks: TensorFlow, PyTorch, Scikit-Learn, BigQuery, Docker, Azure, AWS

Interpersonal Skills:

  • Teamwork
  • Leadership
  • Problem Solving

📫 Contact

Feel free to explore my projects and reach out for collaborations or queries. Let's connect and innovate together!

Pinned Loading

  1. h1226933031/SciCite h1226933031/SciCite Public

    Python