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About Me

I am an engineer with specialized expertise in machine learning, Computer Vision and Image processing. My strong foundation in analytics, enhanced by my proficiency in Python, equips me to develop and implement innovative solutions that address complex challenges. My skills enable me to extract meaningful insights from vast data sets, driving efficiency and innovation across a range of applications.

Expertise

  • Programming: Python, R, Bash, C++
  • Data Science: SQL, Power BI, STATA
  • Machine Learning: TensorFlow, Keras, PyTorch
  • Visualization & Interfaces: OpenCV, Streamlit, Plotly, Dash, Matplotlib
  • Tools & VCS: Git, CLI

Education

MSc in Microsystems and Microelectronics (MEMS) Technology University Hamburg (TUHH)/Graduated: Feb 2024

  • Master Project: New product Development strategy: Topic modeling-based on Lenten Dirichlet Allocations Algorithms (NLP).
  • Master Thesis: Noise detection on High-Density Point Cloud Data from a White Light Interferometer using deep learning.
  • Focusing on computer vision, machine learning and data science

BSc in Electrical and Electronic Engineering (EEE) American International University – Bangladesh (AIUB)/Graduated: Feb 2016

  • Bachelor Thesis: Mapping of Mammalian Purkinje Network on an Electrically Equivalent Circuit
  • Focusing on Electronics and Image data

Interests

I am passionate about:

  • Deep Learning
  • Computer Vision
  • Biomedical Image Analysis
  • Point Cloud
  • Medical Technology