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Achievements

Achievement: YOLOAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Pull Shark

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sneha1012/README.md

Data Science graduate student at Columbia University, Expected to graduate in decemeber 2025. My interests span Data Science, Machine Learning, Deep Learning, and Large Language Models (LLMs).

Work Experience 🖥️ 💼

  • 📜 Graduate Research Assistant @Columbia Business School
  • :atom: Teaching Assistant II @Columbia Business School
  • 🔖 Data Science Intern @Metropolis Healthacre
  • 💻 Deep Learning Intern @National University of Singapore
  • 🏫 NLP Researcher @Indian Institute of Technology, Kharagpur
  • 🇺🇸 Researcher @Carneigie Mellon University

Skills

  • Programming Languages:
    Python SQL C++ R JavaScript Scala Bash

  • ML/AI Tools:
    PyTorch TensorFlow Hugging Face Transformers LangChain

  • Data Engineering:
    Pandas NumPy ETL/ELT Apache Spark DataBricks

  • Visualization:
    Tableau Power BI Matplotlib Seaborn

  • Cloud & DevOps:
    AWS GCP Docker Kubernetes CI/CD

  • Frameworks:
    Flask Node.js OpenCV

You can reach me:

Let's innovate, iterate, and impact the world together! 🚀🌟

Pinned Loading

  1. Doc-Query Doc-Query Public

    A locally-hosted platform for document analysis and question-answering using Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG).

    Python

  2. llm-scratch llm-scratch Public

    LLM implementation from scratch (Torch usage) - From "Build a Large Language Model (From Scratch)

    Python

  3. SeeQA SeeQA Public

    A deep learning model with with a web application to answer image-based questions with a non-generative way by carefully curating the answer vocabulary and adding linear layer on top of Open AI's C…

    Jupyter Notebook

  4. Fitify Fitify Public

    Forked from MileHigh-Fitify/Fitify

    An all-in-one wellness app with meditation, diet planning, and e-store for fitness items.

    JavaScript

  5. EDAV-FINAL-PROJECT EDAV-FINAL-PROJECT Public

    This repository contains our project Exploring Global and Regional Trends in Migration and Refugee Populations Over Time: Insights from UN Data.

    JavaScript 2

  6. Intelligent-Kitchen-Aid-for-the-Visually-Impaired Intelligent-Kitchen-Aid-for-the-Visually-Impaired Public

    This project showcases a sophisticated integration of YOLO for object detection, gTTS and pyttsx3 for text-to-speech, and contextual mapping for intelligent suggestions. It's a comprehensive exampl…

    Jupyter Notebook