- π Hi, Iβm @rosyteran
- π I am located in Southern California.
- π Iβm interested in Data Analysis, Data Visualization, Machine Learning & Data Science projects.
- π± I currently work as a freelance Data Analyst & Data Engineer & Data Scientist.
- π― I am results-driven and detail-oriented Data Analyst/Data Scientist passionate in leveraging data-driven insights to drive business improvement and optimize overall performance.
- π« you can contact me via email: [email protected] or schedule an appointment with me via https://calendly.com/rosanybteranm
- π I speak English & Spanish (Native Language).
- πΎ During my free time, I love to play Tennis, Soccer, Play Ukelele & Travel.
- Irvine, CA
-
20:38
(UTC -08:00) - https://rosanyteran.com/
- in/rosany-teran-7ab315263
Highlights
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BERT-Neural-Network-Sentiment-Analysis
BERT-Neural-Network-Sentiment-Analysis PublicWe were intended to deeply analysis sentiment or reviews. We have used BeautifulSoup4 to Scrape data from 'Yelp' and used 'bert-base-multilingual-uncased model' finetuned for sentiment analysis.
Jupyter Notebook
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Llamaparse-Groq-Retrieval_Augmented_Agent
Llamaparse-Groq-Retrieval_Augmented_Agent PublicUser-friendly interface for creating effective Retrieval Augmented Generation (RAGs)
Jupyter Notebook 3
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AI-Pro-Vision-App
AI-Pro-Vision-App PublicThis repository contains code for a Streamlit web application that leverages Google's Generative AI model (Gemini Pro) to answer questions based on user input.
Python
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GSA-RAG-APP-With-REST-API
GSA-RAG-APP-With-REST-API PublicThis is the backend for the GSA RAG application. It is a RESTful API that provides endpoints for the frontend to consume.
Python
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Image-Tagging-Captioning-AI-App
Image-Tagging-Captioning-AI-App PublicThis Streamlit app enables users to perform image captioning and tag extraction using the Google Generative AI service.
Python
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LlamaIndex-Research-Analyst
LlamaIndex-Research-Analyst PublicAn AI-powered equity research analyst demo using Large Language Models to analyze 10-K filings of renowned NYSE listed companies.
Python 1
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