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Hi👋, Welcome!

I'm an Data Science Engineer

DanniRodrJ

👩🏻‍💻  About Me

  • 🛠️ I'm currently working as Data Analyst for Forum SuperMayorista
  • 👩🏻‍💻 Doing projects to expand my portfolio
  • 🎓 I studied Data Science📊🤖 at Henry 🇦🇷 and Mechanical Engineering⚙️ at UNEXPO 🇻🇪
  • 💡 I like to explore new technologies
  • 🌱 I'm actually learning more about Natural Language Processing (NLP), Time Series Analysis and studying ​📚​ a Diplomate in Artificial Intelligence..
  • 💬 Ask me about Python, SQL and Machine Learning 😉
  • ☘️ In my free time I usually exercise 🏋️‍♀️, read a book 📖, watch motorsports on TV 🏎️ or play video games 🎮.

🛠  Tech Stack

  • 💻   Python R
  • 💡   Pandas Numpy Apache Spark Polars
  • 🛢   MySQL SQL Server PostgreSQL MongoDB
  • 🌐   Apache Hadoop Apache Hive Apache Airflow
  • 📊   PowerBI Matplotlib Seaborn Tableau Excel
  • 🔧   Visual Studio Code Jupyter Databricks Google Colab
  • ⚒️   FastAPI Selenium Beautiful Soup Scrapy
  • 🤖   scikitlearn Keras spaCy NLTK
  • ⚙️   Git docker Render
  • ​☁️   Google Cloud Platform

🤝🏻  Connect with Me

If you need someone to join your team, are interested in collaborating, or have any questions, feel free to contact me! 😊

⚙️  GitHub Analytics

Anurag's GitHub stats

Danni's Projects

content-based_movie_recommendation_system icon content-based_movie_recommendation_system

Sistema de recomendación de películas basado en contenido. Utilizando TF-IDF y la similitud del coseno. La data fue extraída, transformada y analizada para el entrenamiento del modelo. Disponibilizandolo junto con la data limpia para futuras consultas, a través del despliegue con FastAPI y Render.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datathon-forecasting-energy-consumption icon datathon-forecasting-energy-consumption

Project consisting of the prediction of the energy consumption of the two office buildings of CTIC, located in CTIC office buildings, located in Asturias (Gijón and Peón). This project is part of the AI4ES 2023 Datathon.

fast-f1 icon fast-f1

FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

googlemaps-yelp icon googlemaps-yelp

Sistema de recomendación de restaurantes basado en análisis de sentimientos de las reseñas de Yelp y Google Maps del mercado gastronómico estadounidense. Además de la predección del crecimiento y decrecimiento de los rubros gastronómicos, así como la sugerencia de nuevos lugares para emplazar nuevos negocios.

milling-machine_failure-prediction icon milling-machine_failure-prediction

Machine Learning aplicado al mantenimiento predictivo. Se realizaron 2 modelos: 1 por medio de clasificación binaria que predice si una máquina fresadora estará en riesgo de fallar o no, y el 2 modelo a través de clasificación multiclase que predecirá el modo de falla

pandas-ai icon pandas-ai

Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational

portafolio-template icon portafolio-template

Portafolio web "perfecto" para programadores. Plantilla minimalista configurable a nivel gráfico y de contenido.

retos-programacion-2023 icon retos-programacion-2023

Ejercicios de código semanales en 2023 de la comunidad MoureDev para practicar lógica en cualquier lenguaje de programación.

telecom_arg_analysis icon telecom_arg_analysis

Proyecto donde se analiza el comportamiento del sector de las telecomunicaciones en Argentina. El objetivo es identificar tendencias, oportunidades de crecimiento y mejorar la calidad de los servicios ofrecidos.

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