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Hi there 👋

I'm Saba Gul, a passionate Data Scientist with a strong background in AI and machine learning. I'm particularly interested in applying these technologies to solve real-world problems in healthcare, smart grids, and urban safety.

In my previous role at the National Center of Artificial Intelligence, I led groundbreaking research projects on topics like air pollution forecasting and real-time theft detection. I'm also proficient in building and deploying computer vision systems for tasks like social distancing detection and smart parking.

I'm currently the Founder of Serin In Tech, where I'm using my expertise to empower others through workshops and educational initiatives.

This GitHub profile showcases my experience and technical skills. Feel free to explore my projects and get in touch!

Saba Gul's Projects

3d-cnn-keras icon 3d-cnn-keras

http://learnandshare645.blogspot.hk/2016/06/3d-cnn-in-keras-action-recognition.html

car_damage_detection icon car_damage_detection

This repo contains a web app which determines whether a car is damaged or not and also recognizes which part is damaged

cloud-data-analysis-at-scale icon cloud-data-analysis-at-scale

[Course-2020-2023] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Computing for Data Science.

crime-detection--using-deep-learning icon crime-detection--using-deep-learning

Developed an object detection model using YOLO Darknet framework to prevent crimes. Collected the crime data manually from Google images as well as Imagenet database

cs231 icon cs231

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

deepevolve icon deepevolve

Rapid hyperparameter discovery for neural nets using genetic algorithms

energy-drink-launch-case-study icon energy-drink-launch-case-study

Analyzing survey data to enhance CodeX's energy drink marketing strategy in India, optimizing demographics, preferences, competition, and marketing channels.

faceid_beta icon faceid_beta

An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images.

forecasting-air-quality-index icon forecasting-air-quality-index

Forecasting Particulate Matter Concentration with LSTM. In this project, we explore the use of deep learning models, specifically Long Short-Term Memory (LSTM) networks, to forecast the concentration of particulate matter in two highly polluted regions: Beijing, China and Punjab, Pakistan.

friendsdontletfriends icon friendsdontletfriends

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

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