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Minimal portfolio for DS projects

License: The Unlicense

JavaScript 0.03% HTML 99.71% SCSS 0.26%

portfolio's Introduction

I am a freelance machine learning specialist, specializing in computer vision and natural language processing (NLP). With over one year of experience in the industry, I have worked on several projects for various clients and have delivered high-quality solutions that meet their specific requirements.

Skills and Expertise

Computer Vision

I have extensive experience in computer vision and have worked on several projects related to object detection, image classification, and segmentation. Some of the tools and libraries I use in my work include:

  • OpenCV - OpenCV
  • TensorFlow - TensorFlow
  • Keras - Keras

Natural Language Processing (NLP)

In addition to computer vision, I also specialize in NLP and have worked on several projects related to sentiment analysis, text classification, and language translation. Some of the tools and libraries I use in my work include:

  • NLTK - NLTK
  • Gensim - Gensim

All Languages and Tools:

arduino aws c cplusplus flask git linux matlab opencv pandas python pytorch scikit_learn seaborn tensorflow

Project Examples

  • Object Detection and Classification: Developed a deep learning model using TensorFlow and Keras to detect and classify objects in images for a retail client. The model was able to accurately identify various objects, including clothing, accessories, and electronics.

  • Sentiment Analysis: Developed a machine learning model using NLTK and scikit-learn to perform sentiment analysis on customer reviews for a hospitality client. The model was able to accurately classify reviews as positive, negative, or neutral.

  • Language Translation: Developed a neural machine translation model using TensorFlow to translate English text to French for a language learning app. The model was able to accurately translate various types of text, including short phrases and full sentences.

  • Speech Recognition: I built a speech recognition system that uses a combination of convolutional and recurrent neural networks to transcribe spoken words into text.

  • Music Genre Classification: I trained a deep neural network to classify music into different genres based on the audio waveform.

  • Audio Fingerprinting: I developed an audio fingerprinting system that uses the acoustic characteristics of a song to identify it, even if it has been modified or distorted.

  • Sound Synthesis: I created a program that synthesizes new sounds by combining and manipulating existing sounds.

If you have a specific project in mind or would like to learn more about my experience and expertise, please don't hesitate to contact me. I am always happy to discuss new opportunities and explore how we can work together to achieve your goals.

Contact Me

If you have any questions or would like to discuss a potential project, please feel free to contact me at [email protected] . I am always happy to chat about machine learning and data science and look forward to working with you!

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