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Abdul M. AI, Data Science and Machine Learning Platforms

My name is Abdul M. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Python, Data Science, Machine Learning, Computer Vision, Natural Language Processing, etc.. I hold a degree in Master of Computer Science (MSCS), . Some of the notable projects I've worked on include: Intruder Detection and Classification in Particle Image Dataset, Social Media Stance Detection with Deep Learning, Advanced Digit Recognition: Ensemble & Meta-Learning Approach, Advancing Market Basket Analysis: A Hybrid Data Analysis Framework, Banking Credit Risk: Predictive Analytics for Default Insights, etc.. I am based in Lahore, Pakistan. I've successfully completed 9 projects while developing at Softaims.

I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.

I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.

My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

Main technologies

  • AI, Data Science and Machine Learning Platforms

    6 years

  • Python

    3 Years

  • Data Science

    1 Year

  • Machine Learning

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Educative

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Experience Highlights

Intruder Detection and Classification in Particle Image Dataset

Project Goal: The client aimed to enhance the quality of a lab-recorded image dataset by identifying and removing 'intruders'—duplicate images, air bubbles, and empty frames that compromised the datas

Social Media Stance Detection with Deep Learning

Project Overview: I embarked on a project to analyze and classify Twitter sentiments on critical social issues, targeting a deep understanding of public opinion on political figures and climate change

Advanced Digit Recognition: Ensemble & Meta-Learning Approach

Project Overview: The client's goal was to enhance the precision of optical recognition for handwritten digits. The project's scope involved innovating upon traditional machine learning techniques wit

Advancing Market Basket Analysis: A Hybrid Data Analysis Framework

Project Overview: The client sought to refine market basket analysis techniques beyond the capabilities of traditional methods. The goal was to employ a hybrid analytical framework to reveal more comp

Banking Credit Risk: Predictive Analytics for Default Insights

Project Overview: The project was aimed at supporting a bank's credit risk team by developing machine learning models to identify potential loan defaulters. The goal was to analyze anonymized customer

Education

  • Information Technology University

    Master of Computer Science (MSCS) in Data Science

    2020-01-01-2023-01-01

  • Central University of Punjab

    in Computer science

    2015-01-01-2019-01-01

Languages

  • English (Fluent)✓
  • Hindi (Native or Bilingual)
  • Panjabi, Punjabi (Native or Bilingual)
  • Urdu (Native or Bilingual)