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Jasseur

Data Scientist

Hello

Here's who I am & what I do

Jasseur is an experienced data scientist specializing in computer vision, deep learning, audio processing, OCR, NLP, and reinforcement learning. Proficient in Python, PyTorch, TensorFlow, C++, CUDA, SQL, Git, and Linux, he's a quick learner and great communicator.

Jasseur is a highly skilled and experienced data scientist with 4 years of experience. He has a strong background in applied mathematics, as well as extensive experience in developing computer vision and deep learning techniques, including object detection, object tracking, and pose estimation. Jasseur has also utilized audio processing and deep learning techniques, such as Fourier analysis and CNNs, for sound anomaly detection in industrial engines. Additionally, he has experience with OCR systems, NLP, and deep reinforcement learning techniques. Jasseur is proficient in Python, PyTorch, TensorFlow, Keras, C++, CUDA, SQL, Git, and Linux. He is a quick learner, detail-oriented, and possesses excellent problem-solving and communication skills.


 

  • Developed computer vision and deep learning techniques, including object detection, object tracking, and pose estimation, for a mobile application that provides intelligent sports coaching. Also, utilized audio processing and deep learning techniques, such as Fourier analysis and CNNs, to develop software for sound anomaly detection in industrial engines.

  • Deployed applications on Raspberry Pi and NVIDIA Jetson cards, using PyTorch, Python, C++, Cuda, OpenCV, TensorRT, ONNX, PyMongo, Docker, Git, and TFLite, for a project that involved extracting visual information about customers for retailers.

  • Implemented OCR system that reads handwritten checks, using computer vision and deep learning techniques, such as CRNNs, as well as image preprocessing techniques, such as binarization and normalization. Also, utilized NLP and deep reinforcement learning techniques to improve an existing chatbot, and implemented the software using Python, PyTorch, Flask, and Angular.

  • Optimized software performance, using dynamic analysis, design patterns, and data structures, as well as tools like Valgrind, STL, and Boost, during a graduation internship focused on software performance optimization at Mysis.

Specialization

  • Data Science 

Expertise

  • PyTorch

  • TensorFlow

  • Keras

  • Python

  • C++

  • CUDA

  • OpenCV

  • SQL

  • Git

  • Docker

  • TFLite

  • ONNX

  • Raspberry Pi

  • NVIDIA Jetson

  • TensorRT

  • AWS

  • Linux

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