Rubbia Shameem

AI Expert

About Me

Professional Experience

Results-oriented and highly motivated software developer with expertise in programming languages such as C, C++, Java, Python, HTML, CSS, and XML. Skilled in machine learning and deep learning algorithms, with a strong understanding of data structures and algorithms. Proven track record of delivering high-quality code and solutions. Seeking a challenging role as a software engineer to leverage technical skills and contribute to innovative projects.

Hard Skill

Programming Languages: C, C++, Java,

Python, HTML, CSS, XML

Machine Learning: Regression,

Classification, Clustering, Neural

Networks

Deep Learning: Convolutional Neural

Networks (CNN), Recurrent Neural

Networks (RNN), Natural Language

Processing (NLP)

Data Structures and Algorithms

Object-Oriented Programming (OOP)

Version Control Systems: Git, SVN

Database Management: SQL

Web Development: JavaScript, PHP

Problem Solving and Debugging

Teamwork and Collaboration

Strong Communication Skills

Soft Skill

Observation

Decision making

Communication

Multi-tasking

Education Background

2021 UNIVERSITY OF SARGODHA

BACHELOR IN COMPUTER SCIENCE

2022 AIR UNIVERSITY ISLAMABAD

MASTERIN ARTIFICIAL INTELLIGENCE

My Contact

ady311@r.postjobfree.com

Islamabad

+92-335-*******

Internship: National Cybercrime Forensics Lab, Air University) June 2022- Sep 2022

Role and Responsibilities:

Worked as an intern at the National Cybercrime Forensics Lab, Air University, contributing to a social media forensics project. Collaborated with the team on various project tasks, including data annotation, dataset

collection from diverse sources, model training, testing, and performing sentiment analysis.

Acquired proficiency in web scraping techniques to gather relevant data for analysis.

Utilized Natural Language Processing (NLP) skills to process and analyze social media data for sentiment analysis and identifying key insights. Assisted in the development and refinement of machine learning models to improve accuracy in

detecting suspicious activities and uncovering potential cybercrimes. Projects

Object detection

Hurdle detection

Note Recognition

Face detection

Text Recognition

Developed a machine learning model for news article classification as real or fake using SVM Logistic Regression and NLP techniques. Led the project team in model design and implementation. Collected and preprocessed the dataset, performed feature engineering, and trained the model using Python and TensorFlow. Achieved accuracy above 90%, surpassing baseline models. Presented project findings at a machine learning conference. Collaborated closely with team members, dividing tasks and ensuring timely project completion.

Effectively communicated findings and progress to stakeholders, fostering a collaborative work environment.

Technical skills: Machine Learning, NLP, Python, TensorFlow, Data preprocessing, Model training, Evaluation.

Project # 1: Smart Caretaker App (for Blind people) we use OpenCv, firebase and Tensorflow .

Project # 2: Fake News Detection using Machine Learning Project # 3: Sentiment analysis on Roman Urdu by using deep learning

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