Data Science graduate student with a strong foundation in computer languages, including Python, R, SQL, and Java. Proven team leader with a track record of managing and motivating cross-functional teams in high-pressure environments. Adept at problem-solving and developing innovative solutions, with a keen ability to leverage data analytics and machine learning to drive business outcomes. Passionate about translating data into actionable insights to foster organizational growth. Skilled in strategic thinking, communication, and adapting quickly to evolving challenges.
Database systems, Artificial Intelligence, Software engineering, Machine Learning, Cyber Security, Operating Systems, and various Technologies.
Analysis on Airline Customer Satisfaction, 05/2024, In this project we predict whether airline passengers are satisfied with the service they receive during their travel. Using various Statistical models including Linear Regression, Logistic Regression, Decision Trees. Deep Fake Recognition, 12/2023, Deepfake detection uses the Deep Belief Network (DBN) classifier algorithm to differentiate between real and fake images. I worked on Deep Fake Recognition using TensorFlow, Kera's Sequential API, and Conv2D/Max Pooling Layers. E-Commerce Platform, 12/2023, The main aim of this project is to design and implement a simple Amazon-like e-commerce platform using MySQL database. By using MySQL as a relational and MongoDB as a non-relational database. Automated parking slot counter using OpenCV python, Summer 2022, I worked on OpenCV PYTHON which uses machine learning to translate languages and the system will detect the parking space with the help of image processing techniques as well as reduce human effort.