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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 -
• TensorFlow -
• Keras -

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 -
• Gensim -

While I have worked on several machine learning projects over the years, I am unable to share many of them due to confidentiality agreements and privacy concerns with my clients. However, I am happy to discuss these projects in more detail during a consultation call and can provide general information about the types of projects I have worked on in the past.

Here are a few examples of projects I have worked on that I can share:

• 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.

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!