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Mr. Shahan Arif

Introduction

Mr. Shahan Arif is a Data Scientist, Software Engineer, and researcher with extensive experience in data science, machine learning, deep learning, and full-stack web development. He holds a Master of Science in Computer Science from COMSATS University Islamabad and a Bachelor of Science in Computer Science from the University of Gujrat. Throughout his professional career, he has worked on numerous research and industry-oriented projects involving artificial intelligence, neural networks, image processing, natural language processing, and web technologies.

Currently serving as a Software Engineer at COMSATS University Islamabad, Mr. Arif has played a significant role in the development and deployment of large-scale knowledge-sharing and validation platforms used by universities and industry stakeholders. His work focuses on applying machine learning and deep learning techniques to solve real-world problems while bridging the gap between academic research and industrial applications.

Biography

I am Shahan Arif, a passionate Data Scientist and Software Engineer with expertise in Machine Learning, Deep Learning, Data Science, Artificial Intelligence, and Full-Stack Development. I have over two years of professional experience working on research-driven and industrial software solutions. My academic background and professional experience have enabled me to work on a variety of projects involving neural networks, image generation, image classification, machine translation, sentiment analysis, text classification, and predictive analytics.

At COMSATS University Islamabad, I have been actively involved in designing, developing, and deploying innovative software solutions and knowledge-sharing platforms. My research interests include Computer Vision, Natural Language Processing, Deep Learning, Data Mining, and Artificial Intelligence. I am enthusiastic about exploring emerging technologies and applying them to solve complex real-world challenges.

Education, Qualification and Experience

Master of Science (MS) – Computer Science

COMSATS University Islamabad
CGPA: 3.9

Bachelor of Science (BS) – Computer Science

University of Gujrat
CGPA: 3.5

Intermediate in Computer Science (ICS)

Punjab College Gujrat
Marks: 75%

Secondary School Certificate (Science)

Municipal Model High School for Boys
Marks: 75%

Professional Experience Software Engineer

COMSATS University Islamabad
May 2017 – Present

Responsibilities:

  • Full-stack web development and deployment.
  • Data science and machine learning solution development.
  • Research and implementation of deep learning models.
  • Design, development, and maintenance of large-scale software systems.
  • Development of knowledge-sharing and validation platforms for academia and industry.
Major Projects Innopedia

A knowledge-sharing platform connecting academia and industry stakeholders worldwide to facilitate research commercialization and collaboration.

Achievement:

  • Successfully deployed and maintained a platform utilized by 34 universities.
CMS Knowledge Platform

A knowledge-validation platform developed in collaboration with edX Studio for academia and industry.

Achievement:

  • Successfully deployed and maintained the CMS platform for industry use.
Software Engineer

Beltok Technology
March 2015 – January 2016

Responsibilities:

  • Full-stack web application development.
  • ASP.NET MVC application development.
  • Database design and management using SQL Server.
  • Front-end development using Bootstrap, HTML, CSS, and jQuery.
Major Projects
  • Dynamic Website (Al-Usman Fan)
  • Basaqar Group Website
  • UAE Die-Casting Website
  • Maryam Hospital Management System
  • G-Mart Shopping System (POS)
Freelance Experience Four Stay

Platform: HTML, CSS, jQuery, Bootstrap, Angular, Node.js, MongoDB

Satellite System for IP TV

Platform: HTML, CSS, jQuery, Python, PHP, Linux, SQL

Research & Academic Projects Caption-Based Image Generation (MS Thesis)
  • Developed a deep learning model for generating grayscale natural images from textual captions.
  • Technologies: TensorFlow, Python
Online Modeling Tool (Final Year Project)
  • Developed a diagramming tool for structural analysis and object-oriented analysis and design.
  • Technologies: HTML, CSS, Bootstrap, jQuery, AngularJS, Node.js, MongoDB
Machine Translation
  • English-to-Urdu translation system.
  • Technologies: TensorFlow, Python
Text Classification
  • Multi-category document classification system.
  • Technologies: TensorFlow, Python
Image Classification
  • Deep learning-based image categorization model.
  • Technologies: TensorFlow, Python
Sentiment Analysis
  • Sentiment classification model for textual data.
  • Technologies: TensorFlow, Python
Document Sharing System
  • Technologies: HTML, CSS, jQuery, Node.js, MongoDB
Areas of Expertise
  • Data Science
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Data Visualization
  • Image Processing
  • Image Generation
  • Machine Translation
  • Topic Modeling
  • Time Series Analysis
  • Forecasting
Technical Skills Programming & Frameworks
  • Python
  • Flask
  • Angular
  • TensorFlow
  • PyTorch
  • Keras
  • Scikit-Learn
Data Science Libraries
  • Pandas
  • OpenCV
  • PIL
  • Gensim
  • SpaCy
  • NLTK
  • Matplotlib
  • Seaborn
Databases
  • MongoDB
  • SQL Server
Tools & Platforms
  • Jupyter Lab
  • PyCharm
  • Google Colaboratory
  • WebStorm
  • IntelliJ IDEA
  • GitHub
  • SourceTree
  • Linux
  • macOS
  • Windows
Publications
  1. Arif, S., Zia, T., & Zahid, U. (2018). Caption Based Image Generation using Auto Regressive Methods. International Journal on Neural Computing and Applications, Springer (Under Review).
  2. Fatima, I., Khalid, A., Arif, S., Zahoor, S., Yasmeen, A., Zafar, U., & Javaid, N. (2017). Home Energy Management System Using Ant Colony Optimization Technique in Microgrid. International Conference on Broadband and Wireless Computing, Communication and Applications.
  3. Zafar, U., Shah, M., Arif, A., Walid, A., Akhunzada, A., & Arif, S. (2019). Exploring IoT Applications for Disaster Management: Identifying Key Factors and Proposing Future Directions.
Honors & Awards
  • Information Secretary, Computer Science Society
  • Speed Programming Competition Participant
  • Hayatian Computing Society, COMSATS University
Professional Development Online Certifications
  • Python for Financial Analysis and Algorithmic Trading
  • Coursera Machine Learning Course
  • Python for Data Science and Machine Learning Bootcamp
  • Statistics for Data Science and Business Analysis
Hobbies & Interests
  • Table Tennis
  • Lawn Tennis
  • Cricket
  • Gaming
  • Research and Innovation
  • Technical Writing
  • Continuous Learning