Personal Portfolio

About

Learn more about me

Machine Learning Enthusiast

I'm a passionate at Machine Learning || Deep Learning || Data Science || Computer Vision || NLP

Website: alaminbhuyan.github.io
Phone: +8801875-780-315
City: Dhaka, Bangladesh

Degree: Masters
Email: alaminbhuyan321@gmail.com
Google Scholar: Click Here

Skills

Programming Languages

C 70%

C++ 70%

Python 85%

Web development

HTML 80%

CSS 50%

JavaScript 70%

FrameWorks

TensorFlow 70%

PyTorch 40%

Django 50%

Library

Scikit-learn 75%

OpenCV 70%

Numpy, Pandas, Seaborn, Matplotlib, SciPy, Plotly 75%

Database & Version Control

MySQL 85%

Git 85%

Research Interests

Machine Learning

Deep Learning

Computer Vision & Pattern Recognition

Natural Language Processing

Conference Papers

Sentiment Polarity Analysis of Bangla Food Reviews Using Machine and Deep Learning Algorithms.

Publication Year: 2024

Go to paper: [Click Here]

Enhancing Bangla Language Next Word Prediction and Sentence Completion through Extended RNN with Bi-LSTM Model On N-gram Language.

Publication Year: 2024

Go to paper: [Click Here]

PhishGuard: A Convolutional Neural Network-Based Model for Detecting Phishing URLs with Explainability Analysis.

Publication Year: 2024

Go to paper: [Click Here]

Journal Papers

Instance Segmentation and Multi-class Classification of Gastrointestinal Polyp Image.

Paper Status: Under Review

EOD-Model: An Enhanced YOLO V8-Based Object Detection Model for Online Platform Safety.

Paper Status: Under Review

Education

My Educational Qualification

Master of Science in Computer Science (MSCS)

4 June 2023 - Running

Average CGPA - 3.67/4

American International University-Bangladesh

American International University-Bangladesh, commonly known by its acronym AIUB, is a private university in Dhaka, Bangladesh. This university was established in 1994 in the capital Dhaka of Bangladesh. It offers several degree programs at the undergraduate and graduate levels from its four faculties.

B.Sc. in Computer Science & Engineering (CSE)

2019 - 2022

CGPA - 3.93/4 (Class position: 1st)

Uttara University

Uttara University or UU is a private university situated in Uttara, Dhaka, Bangladesh. UU was established in the year 2003 by Founder Sir M Azizur Rahman and it enjoys a reputation of a research intensive and an affordable quality institution. UU has 5 schools, 15 departments and 39+ programs at graduate and undergraduate level with current enrollment of 10K+ student strength.

Higher Secondary School Certificate (HSC)

2015 - 2016

GPA - 3.25/5

Mehnaz Hossen Mim Adarsha College

Mehnaz Hossen Mim Adarsha College is an educational establishment that is located at Ragunathpur Chhaliakhandi Titas Comilla. Its Educational Institute Identification Number or EIIN, is 134336. On 06 November, 2009 it was first put into operation. The institution provides education in the following fields: Humanities, Science, Business Studies.

Secondary School Certificate (SSC)

2013 - 2014

GPA - 4.61/5

Jonab Ali High School

Jonab Ali Hight School is an educational establishment that is located at Dularampur village, Titas Comilla. Its Educational Institute Identification Number or EIIN, is 134226. On 06 November, 2005 it was first put into operation. The institution provides education in the following fields: Humanities, Science, Business Studies.

Experience

Check My Experiences

Professional Experience

Adjunct Lecturer

Feb, 2024 - Running

Company Name: Uttara University

Conducting classes.
Prepare course materials.
Advising student.
Others activities as per University policy.

Software Developer (Intern)

May, 2023 - July, 2023

Company Name: Nimusoft Technology LTD.

Code Development: Write and maintain clean, efficient Python code for various applications.
Testing and Debugging: Create and implement unit tests, debug and resolve issues to ensure software reliability.
Documentation: Produce comprehensive documentation for code, APIs, and systems to aid understanding and future maintenance.
Collaboration: Work closely with cross-functional teams, communicate progress, challenges, and solutions.
Performance Optimization: Identify and address performance bottlenecks, optimize code, and work on scalability strategies.

Resume

Check My Resume

Sumary

Alice Barkley

Innovative and deadline-driven Graphic Designer with 3+ years of experience designing and developing user-centered digital/print marketing material from initial concept to final, polished deliverable.

Portland par 127,Orlando, FL
(123) 456-7891
alice.barkley@example.com

Education

Master of Fine Arts & Graphic Design

2015 - 2016

Rochester Institute of Technology, Rochester, NY

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Bachelor of Fine Arts & Graphic Design

2010 - 2014

Rochester Institute of Technology, Rochester, NY

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Professional Experience

Senior graphic design specialist

2019 - Present

Experion, New York, NY

Lead in the design, development, and implementation of the graphic, layout, and production communication materials
Delegate tasks to the 7 members of the design team and provide counsel on all aspects of the project.
Supervise the assessment of all graphic materials in order to ensure quality and accuracy of the design
Oversee the efficient use of production project budgets ranging from $2,000 - $25,000

Graphic design specialist

2017 - 2018

Stepping Stone Advertising, New York, NY

Developed numerous marketing programs (logos, brochures,infographics, presentations, and advertisements).
Managed up to 5 projects or tasks at a given time while under pressure
Recommended and consulted with clients on the most appropriate graphic design
Created 4+ design presentations and proposals a month for clients and account managers

Projects

My All Projects

Machine Learning Projects

Spam Email Classification

Domain: NLP

Library Used: Scikit-learn, NLTK, Pandas

Spam email classification involves automatically categorizing emails as either spam or not spam (ham) using machine learning algorithms.

Spam Email Classification Using AvgWord2Vec

Domain: NLP

Library Used: Scikit-learn, NLTK, Pandas, Seaborn, Matplotlib

Spam email classification involves automatically categorizing emails as either spam or not spam (ham) using machine learning algorithms.

Content Based Movie Recommendation System

Domain: NLP

Library Used: Scikit-learn, NLTK, Pandas, Seaborn, Matplotlib

A content-based movie recommendation system suggests movies to users based on the characteristics of items they have liked or interacted with, analyzing content features such as genres, keywords, or actors to make personalized recommendations.

Books Recommendation System

Domain: NLP

Library Used: Scikit-learn, NLTK, Pandas, Seaborn, Matplotlib

A book recommendation system suggests books to users based on their preferences, past interactions, or similar user profiles, utilizing algorithms to enhance personalized reading suggestions.

Deep Learning Projects

Cat Vs Dog Classification

Domain: Computer Vision

Library Used: Scikit-learn, TensorFlow, Pandas, Seaborn, Matplotlib

Cat vs Dog classification is a machine learning task where algorithms are trained to distinguish between images of cats and dogs.

Cat Vs Dog Classification Using Transfar Learning

Domain: Computer Vision

Library Used: Scikit-learn, TensorFlow, Pandas, Seaborn, Matplotlib

Cat vs Dog classification is a machine learning task where algorithms are trained to distinguish between images of cats and dogs.

Face Mask Detection

Domain: Computer Vision

Library Used: Scikit-learn, TensorFlow, Pandas, Seaborn, Matplotlib

Face mask detection is the use of computer vision algorithms to identify and classify whether individuals in images or videos are wearing face masks.

Fashion Recommendation System Using Transfer Learning

Domain: Image Processing

Library Used: Scikit-learn, TensorFlow, Pandas, Seaborn, Matplotlib

A fashion recommendation system suggests clothing and accessory items to users based on their preferences, past choices, and style, often utilizing deep learning algorithms.

Person Identification and Attendance System

Domain: Computer Vision

Library Used: Scikit-learn, TensorFlow, Pandas, Seaborn, Matplotlib

A Person Identification and Attendance System employs technology, such as facial recognition or biometrics, to identify individuals and track their attendance in various settings.

Cotton Plant Disease Prediction

Domain: Computer Vision

Library Used: Scikit-learn, TensorFlow, Pandas, Seaborn, Matplotlib

Cotton plant disease prediction involves using machine learning models to forecast or identify diseases affecting cotton plants based on input features like images or sensor data.

Which Bollywood Celebrity Are You Using Transfer Learning

Domain: Computer Vision

In this project I implemented a model that can recognize in which Bollywood Celebrity you are look like.

CIFAR-10 Object Recognition using ResNet50

Domain: Computer Vision

Library Used: Scikit-learn, TensorFlow, Pandas, Seaborn, Matplotlib

CIFAR-10 Object Recognition is a machine learning dataset and task involving the classification of images into 10 different classes, commonly used for training and evaluating image recognition algorithms.

Digits Classification

Domain: Image Processing

Library Used: Scikit-learn, TensorFlow, Pandas, Seaborn, Matplotlib

Digits classification is a machine learning task where algorithms are trained to identify and categorize handwritten or digital digits (0-9) into their respective classes.

Male and Female Name Classification

Domain: NLP

Library Used: Scikit-learn, TensorFlow, Pandas, Seaborn, Matplotlib

In this project I implemented a model that can prediction whether a person name is male or female.

Customers Churn Prediction

Domain: CRM

Library Used: Scikit-learn, TensorFlow, Pandas, Seaborn, Matplotlib

Customer churn prediction involves using data and analytics to forecast which customers are likely to discontinue using a product or service, enabling businesses to proactively retain customers.