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gaikwadakash1402/README.md

Hi there 👋

🌱 Welcome!
👋 I’m Akash Gaikwad, a graduate in Artificial Intelligence and Data Science Engineering.

Things I'm Good At ✨

  • Programming Languages: Python, R, SQL (MySQL, PostgreSQL).
  • Data Science Expertise: Data Visualization, Data Preprocessing, EDA, Data Cleaning, Supervised and Unsupervised Learning Algorithms, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Natural Language Processing (NLP), Generative AI (GenAI), and Large Language Models (LLMs).
  • Libraries & Tools: NumPy, Pandas, SciPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, PyTorch, NLTK, SpaCy, Gensim, Transformers (Hugging Face), and BeautifulSoup.
  • Frameworks: TensorFlow, Keras, Flask, FastAPI, Streamlit, LangChain
  • Databases: MySQL, MongoDB.

Work Experience 💼

  • Prompt-Response Writer at Telus International Pvt Ltd.
    • Contributing to the development of multimodal datasets for Visual Language Models.
  • Data Science and AI Trainee at UV Technocrats Pvt. Ltd.
    • Advanced proficiency in Python, Machine Learning, and data visualization tools.

Education 🎓

  • B.Tech in Artificial Intelligence and Data Science Engineering.

Pinned Loading

  1. Face_Mask_Detection Face_Mask_Detection Public

    Python

  2. Customer_Churn_Prediction Customer_Churn_Prediction Public

    Jupyter Notebook

  3. Speech-Emotion-Recognition Speech-Emotion-Recognition Public

    Speech Emotion Recognition Project

    Jupyter Notebook

  4. Used_Car_Price_Prediction Used_Car_Price_Prediction Public

    Jupyter Notebook

  5. CRED-data-analysis CRED-data-analysis Public

  6. Handwritten_digit_classification Handwritten_digit_classification Public

    Jupyter Notebook