Amal Thomas

About me

I’m a Data Science Research Analyst at Procter & Gamble, where I apply cutting-edge machine learning and statistical models to enhance product analysis.
I am a Master's student in Artificial Intelligence and Robotics at University of Cincinnati, Ohio. I am proficient in programming languages such as Python, C++, and Matlab, and skilled in utilizing machine learning tools and libraries including PyTorch, TensorFlow, Scikit-learn, and OpenCV. I am passionate about continuous learning and innovation, and eager to contribute to dynamic projects and collaborative teams.
I also enjoy reading books, gaming and Trading Crypto.

Skills

Over the last couple of years, I've gained substantial experience utilizing machine learning models and data analysis tools. My work involved employing data science methods to draw insights for data visualization, forecasting models, and generating comprehensive reports for strategic solutions.

Currently, my focus is on Text Mining using Python.

Resume

I portray myself as a driven engineer who thrives in teamwork, specializing in Artificial Intelligence and Big Data. I possess practical experience in machine learning, including expertise in data mining, predictive modeling, and natural language processing. I am adept at working in dynamic settings, where I can easily adjust to shifting priorities while maintaining focus and dedication.