About me

Welcome to my website! I'm a physicist with a passion for exploring the frontiers of technology. My journey began with a fascination for the fundamental laws of the universe, leading me to pursue a career in physics. Along the way, I discovered a keen interest in the rapidly evolving field of machine learning, deep learning, and artificial intelligence.

Driven by curiosity and a desire to understand the inner workings of complex systems, I delve into the intricacies of algorithms, neural networks, and data science methodologies. From unraveling the mysteries of quantum mechanics to exploring the limitless possibilities of AI, I thrive on the challenges of pushing the boundaries of knowledge and innovation.

Whether it's developing predictive models for real-world applications or unraveling the mysteries of the cosmos, I approach every problem with a blend of analytical rigor, creativity, and a relentless pursuit of excellence. Through my work, I aim to contribute to the advancement of science and technology while inspiring others to embark on their own journey of discovery.

Daniel lewis
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Daniel lewis

Resume

Education

  1. Bangladesh University of Engineering and Technology

    Bachelor of Science, Mechanical Engineering 2007 — 2009

    I studied four semesters of Mechanical Engineering. I have learned the foundational mathematics, physics, computer programming, electronics.

  2. University of Leipzig

    Bachelor of Science, Physics 2017 — 2023

    I learned theoretical and experimental physics, mathematics, programming, simulation, data analysis, data visualization, research methodology, research presentation and communication.

Professional Certifications

  1. pcap Logo

    PCAP Python Associate

     edx

    Skills Learned: Object Oriented Programming

Online Courses and Certifications

  1. edx Logo

    Harvard CS50: Introduction to Artificial Intelligence

     edx

    Skills Learned: Search, Minmax, Propositional Logic, Machine Learning, Natural Language Processing, Convolutional Neural Network, Recurrent Neural Network.

  2. edx Logo

    Stanford Machine Learning Specialization

     Coursera

    Skills Learned: Skills learned: Linear Regression, Logistic Regression, Neural Network, Decision Trees, PCA, Anomaly Detection, Recommender System, Reinforcement Learning.

Language Proficiency

  1. Bangla

    Native

  2. English

    Native

  3. German

    Professional: Level C1

Experience

  1. Unity3D Game Developer

    2013 — 2016

    Portbliss

My skills

  • Python
    85%
  • JavaScript
    65%
  • R
    50%
  • Data Analysis
    75%
  • Data Visualization
    80%
  • SQL, Pandas
    75%
  • Machine Learning
    85%
  • Web Development
    50%
  • Game Development
    50%

Projects

Contact

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