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Rakshasv18/README.md

Raksha

Hi there 👋 Welcome to my github profile 👩🏻‍💻

  • 💪🏻 I’m currently working on getting a job as a Machine Learning / Deep Learning / Data Scientist roles ( FTE , Internships )

  • 🕵️‍♀️ I'm currently working as Research assitant at University of Michigan, Dearborn.

  • 🤔 I’m looking for help in landing an interview to cracking the interview process in ML

  • 👀 Open for discussion on : Deep Fake Generation / LLM / Speech / NLP / CV

  • ✍🏻 Open Source Contribution : coqui-ai/TTS#3541

  • 📧 How to reach me: rakshav@umich.edu

    👩🏻‍🎓 About Me

  • Research Assistant at the University of Michigan, working in generative AI, speech and language technology, deep learning, and cybersecurity

  • Strong background in data science, machine learning, and holds certifications from Coursera, ​IBM, Google and Analytics Vidhya.

  • Gained experience as a Machine Learning Intern at a startup in Gen AI for Text Summerization.

  • Proficient in Kannada, English, and Hindi languages

  • Passionate about advancing artificial intelligence and contributing to society

Technical Skills:

  • Programming Languages: Python, SQL
  • Database Management Systems: MySQL
  • Data Visualization: Tableau
  • Model Training : Distributed Training.
  • Version Control: Git, GitHub
  • Framework : Tensorflow , Pytorch
  • Math : Linear Algebra (Online Instructor: Gilbert Stang)
  • Stat : Introduction to Probability and axioms (Online Instructor: John Tsitsiklis)

In progress :

  • Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP)
  • Data Lake: Amazon s3, Google Cloud Storage

Soft Skills:

  • Effective critical thinking and logical reasoning abilities
  • Outstanding written and spoken interaction abilities
  • Skill in teamwork and cooperative working in a group setting
  • Thorough with meticulous attention to precision and data quality
  • Proficiency in leading and managing teams
  • Ethical data management
  • Flexibility and openness to change
  • Effective time organization and scheduling
  • Ongoing education and skill enhancement

Pinned Loading

  1. Image_Caption_Generation Image_Caption_Generation Public

    State-of-the-art results for image caption have been attained using the MultiModel neural network architecture, which combines the CNN and LSTM models into one.

    Jupyter Notebook

  2. LangChain LangChain Public

    Text Summarization Using LangChain (OpenAI GPT)

    Jupyter Notebook

  3. Vector_Database Vector_Database Public

    Create Embeddings using Openai embeddings store and query using Vector Database

  4. Retrieval-Augmented-Generation-RAG Retrieval-Augmented-Generation-RAG Public

    Building RAG-based LLM Applications for Production