Associate Data Scientist

MUHAMMAD ABDUL MUGHNI

Associate Machine Learning Engineer

+923********* *************@*****.*** linkedin.com/in/m-abdul-mughni/ github.com/Abdulix Lahore, Pakistan

SUMMARY

Detail oriented and innovative data science enthusiast with expertise in machine learning and deep learning, eager to leverage hands-on experience as a fresh graduate.

EDUCATION

Bachelor of Science in Computer Science

University of Engineering and Technology, Lahore

10/2020 - 05/2024

EXPERIENCE

Associate AI Engineer

Terafort

05/2024 - Present Lahore

I have worked on the Text to Image generation.

Developed advanced features such as face detailing, content moderation, and old image restoration to improve the quality and applicability of generated images.

Machine Learning Internship

TechnoHacks EduTech Official

08/2023 - 09/2023 Remote

github.com/Abdulix/Techno_Hacks_EduTech

Developed a machine learning model for Diabetes and Wine Quality Prediction during my internship.

Cleaned and preprocessed raw data, achieving an 85% accuracy rate by utilizing classification algorithms.

Employed regression algorithms and implemented feature scaling to develop a robust prediction model.

TRAINING / COURSES

Microsoft Azure

Fundamentals

Microsoft Azure

Machine Learning

Operations - MLOps

Google Cloud

Introduction to Deep

Learning

Kaggle

Data Visualization

Kaggle

Introduction to Machine

Learning

Kaggle

SKILLS

Python HTML/CSS SQL

Tensorflow Keras Numpy

Pandas Scikit-learn Pytorch

Image Processing Machine Learning

Transfer Learning Web Scrapping

Team Player Self Motivated

Adaptable Multi-tasker

Attention to detail Problem Solving

KEY ACHIEVEMENTS

Data Science Lead, Google

Developer Student Club, UET

Led events and projects in Google

Developer Student Club to promote data

science education and community

engagement, utilizing analytics,

visualization, and machine learning for

real-world solutions.

Certified Google Developer Student

Club Keynote Speaker

Delivered speeches on topics related to

technology, innovation, and community

building.

Runner-up, Annual Football,

University of Engineering and

Technology, 2023

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