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vanessamiranda/README.md

👋 Hi there! I'm Vanessa.

A passionate and seasoned data-driven professional with a talent for transforming raw data into actionable insights. My journey is characterized by a fusion of technical proficiency and strategic thinking, focusing on crafting solutions that address real-world challenges through code. Let's connect and explore how my skills can contribute to the success of your team! 🚀

My interest: Saving the World, One Line at a Time! 🌎💻

🔧 Language and tools:

Python R SQL JavaScript HTML JSON PyTorch NumPy Pandas Matplotlib Seaborn Tableau Scikit-Learn TF-IDF Few Shot Learning RAG LLM Chatbot Fine-Tuning Information Retrieval Recommender Engines

Additional Technologies:

LangChain Machine Learning Predictive Analytics Microsoft Power Automate RPA & Cloud Flow Chroma FAISS Microsoft Power App

🌱 Volunteer Endeavors:

Developing conversational AI framework for enterprise-wide applications in the health sector, including a dialogue system improving patient care for oncology department. Integrating natural language understanding and generation capabilities to enhance user experience and interactions.

🌐 Find me around the web

X (formerly Twitter) URL LinkedIn

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  1. SentimentAnalysis SentimentAnalysis Public

    Sentiment Analysis: Real World Data

    Jupyter Notebook

  2. Module-9-IBM-Battle-of-the-Locations Module-9-IBM-Battle-of-the-Locations Public

    Business Problem: To locate and recommend to the client which neighbourhood in NYC will be best choice to open a restaurant . Tool used: Web scraping, Four Square API

    Jupyter Notebook 1 6

  3. Absenteeism-Prediction Absenteeism-Prediction Public

    Tool Used: Phyton, MYSQL and Tableau

    Jupyter Notebook

  4. IBM-Module-8-Loan-Predictions IBM-Module-8-Loan-Predictions Public

    IBM Data Science Professional Certificate. Tool used:- Scikit-learn, Scipy, Numpy

    Jupyter Notebook 1

  5. IBM-Module7-Data-visualization- IBM-Module7-Data-visualization- Public template

    IBM Data Science Professional Certificate. Tool used:- matplotlib.pyplot

    Jupyter Notebook

  6. Predicting-Customer-Churn Predicting-Customer-Churn Public

    Business Problem: Build a model to predict whether a customer will churn

    Jupyter Notebook