Raha (Raha Moosavi) Site
Hi! I'm Raha Moosavi, you can call me Raha
A graduate data scientist with one years of machine learning industry experience in the area of deep learning and recommendation systems. Working on a range of classification and optimisation problems. Ability to deliver innovative solutions accurately and efficiently solve challenging business problems. Nimble and agile professional to deliver solutions in a rapidly changing environment. Curious and inquisitive with a constant desire to learn and pioneer new uses for machine learning.
Currently doing my Internship with TotalEnergiesWorking as machine learning scientist in TotalEnergies. Particularly, working on creating deep learning surrogate model for reservoir simulation.
Student expected to graduate with Second Upper Honors in Computational Science. Focusing on machine learning, data structure, algorithms, programming and software developement. I also am doing my internship in TotalEnergies as a machine learning scientist for Machine Learning and data science department. My project is about building deep learning based model for reservoir simulation, using attention recurrent residual U-net and a dataset from geological map and pressure and saturation map as output.
Our team got the 1st place (out of 15 teams) to build an accurate deep learning model for classification of lung CT Scan images to Covid-19 detection. This machine learning project has 3 main parts, gathering and preprocessing data (using image augmentation), building model (on Pytorch), and building a user-interface for working with model(on Grio). There are many challenges, from the data preprocessing such as unbalancing dataset, data augmentaion, to the limitation on choosing model and increasing test data accuracy. Integrating every component and working in a team together within 2 weeks.
