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taslimbjit/README.md

Hi πŸ‘‹, I'm Md. Taslim Hosen Shanto

Software Engineer(Trainee) @ BJIT Academy

I'm a passionate Data Scientist from Bangladesh with over 1 years of experience in building automated system using Django, Python, Machine Learning, Deep Learning, Natural Language Pocessing, ReactJS, NodeJS, HTML, CSS, SQL, etc. I have a strong foundation in machine learning techologies, and I'm constantly learning new technologies to stay up-to-date with the latest trends.

πŸ‘¨πŸ½β€πŸ’» What I'm working on

Currently, I am working on BJET Academy (a Bangladesh Japan IT Engineer Training Program) as a JAVA Trainee.

🧠 What I'm currently learning

I'm currently learning Python, Java, AWS, Data Science, to improve my development skills and stay up-to-date with the latest technologies. I believe that continuous learning is the key to becoming a successful Data Scientist.

πŸ’¬ Ask me about

  • Topics: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Git/GitHub
  • Technologies: Tensorflow, Opencv, Pytorch, Numpy, Pandas, Scikit-Learn

πŸ“« How to reach me

taslimhosen taslim_shanto

πŸš€ Skills

android arduino bootstrap c cplusplus css3 django docker flask git html5 illustrator java javascript linux matlab mysql nodejs opencv pandas photoshop php postman python react reactnative scikit_learn seaborn tensorflow

🌟 Projects

  • RAISS LAB WEBSITE (Research in AI, IoT, and Software Security): This project maintains lab information such as lab member profiles, lab news, project information, and publication information, and external members can also contact with the director. Technologies used: β€” HTML5, CSS3, JavaScript, PHP.
  • Car Racing Game: This project allows players to simulate the experience of racing cars in various settings. These games typically involve players selecting a car and competing against other players or computer-controlled opponents on various tracks and terrains. Technologies used: β€” Python, Opencv, anaconda, Jupyter Notebook
  • Decision Support System for Pest Control in Agriculture: The Decision Support System for Pest Control in Agriculture is a system designed to assist farmers and agricultural workers in making informed decisions about pest control. The system utilizes data analysis and modeling techniques to provide recommendations for the most effective pest control methods based on the specific conditions of a farm or field. This project is funded by the ICT Division, and it aims to improve the efficiency and sustainability of agriculture while reducing the negative impact of pest control on the environment. Technologies used: β€” Deep Learning, Python, anaconda, Jupyter Notebook.
  • Rice Diseases Recognition and Pesticide Recommendation using Convolution Neural Network: In this project, Convolutional Neural Network (CNN) can be used to recognize different types of rice diseases and provide recommendations for effective pesticide management. The approach involves collecting a large dataset of images of healthy and diseased rice plants, preprocessing the data, training the CNN model, validating and testing the model's accuracy, and using the model to provide recommendations for pesticide application based on the specific disease, stage of infection, and type of rice plant. Also fine tuning the model parameter for better performance. Technologies used: β€” Convolution Neural Network, Python, anaconda, Jupyter Notebook.

πŸ› οΈ Screenshots of Project

Girl in a jacket

🌟 Publication

  • Handling Class Imbalance in Credit Card Fraud Using Various Sampling Techniques
  • DECISION SUPPORT SYSTEM FOR AGRICULTURE: CROP DISEASE RECOGNITION AND CLASSIFICATION THROUGH AN OPTIMIZE CONVOLUTION NEURAL NETWORK (CNN)
  • KRISHOKBOT: AN INTELLECTUAL AGENT FOR FARMERS

πŸ’» Work Experience

  • Machine Learning and Deep Learning LAB, Dept. of CSE, JUST, Research Assistant, Mar. 2021 - Jan. 2023.
    My responsibilities included conducting literature reviews, preparing and analyzing data, developing and implementing machine learning models, writing technical reports and presenting research findings, collaborating with team members, and staying up-to-date with the latest developments in the field. My one of greatest project is Decision Support System for Pest Control in Agriculture which funded by ICT Division. Technologies used: Deep Learning, Python, anaconda, Jupyter Notebook.

πŸŽ“ Education

  • Jashore University of Science and Technology, B.Sc. in CSE, 2023
  • CGPA: 3.61

πŸ“š Training

  • Machine Learning
  • Deep Learning Specialization
  • TensorFlow in Practice Specialization
  • Computer Vision – Object Tracking with OpenCV and Python.
  • Natural Language Processing Specialization.
  • Introduction to Data Science in Python.

πŸ† Achievements

  • Mathematics Olympiad (9th Position) [2022]
  • Essay competition award from the Minister of Education (Second Position) [2015]

πŸ“ˆ GitHub Stats

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πŸ’» Github Repositories

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