Hi! I'm Rad, a Business Analytics student at the University of Oulu with a B.Sc. in Computer Engineering. I have three years of experience as a data scientist, specializing in Python, AI, SQL, and have worked on projects like recommender systems, pricing estimation, Named Entity Recognition, and Deep Reinforcement Learning for autonomous driving.
Led and supervised the data science team, enhancing fundamental data elements such as user clusters to support various services within the organization.
Improved the company’s Business Intelligence tool, Metabase, by designing custom dashboards for different departments, contributing to enhanced data-driven decision-making and improved operational efficiency.
Developed a Named Entity Recognition (NER) module in Python using spaCy. Implemented custom entity recognition rules and fine-tuned the model for specific domain applications, achieving a precision of 96% and a recall of 60% in extracting essential information from Persian natural language text.
Designed and implemented a Recommender System in Node.js, achieving a remarkable 20% increase in freight applications. Utilized collaborative filtering, content-based recommendation algorithms, and enhanced with Redis for faster response times.
Engineered a Pricing Estimation System for routes and loaders, establishing it as the country’s standard for transportation cost calculations. Implemented Linear Regression and PostgreSQL, incorporating advanced data normalizations, including measures to address inflation, to ensure precise and reliable pricing predictions.
Developed End-to-End Autonomous Driving solutions for B.Sc thesis project under the guidance of Prof. Rahmati and Prof. Javanmardi. Implemented three Deep Reinforcement Learning algorithms (DDQN, DDPG, and SAC) using TensorFlow. Conducted a comparative analysis of these algorithms in the CARLA simulator environment, assessing driving fluency, safety, model efficiency, and learning rate performance.
In courses: Principles of Database Design, Data Mining, Principles & Applications of Artificial Intelligence, Algorithm Design.
GPA: 4.00 / 4.00 (20.00 / 20.00)
GPA: 3.60 / 4.00 (16.87 / 20.00)
GPA: 3.96 / 4.00 (19.78 / 20.00)
I’m really passionate about databases and machine learning, spending a lot of my free time exploring new advancements and learning about the latest trends in these fast-paced fields.
I also enjoy listening to podcasts, while carving wood to create funny and cute handicrafts that I can gift to my friends. When I want to get outdoors, I enjoy riding my bike through nature to connect with the environment, get some exercise, and clear my mind.
Thanks for stopping by to learn a bit about me!