Sushmita Roy

I'm a passionate individual with a solid foundation in mathematics, holding a bachelor's degree in the subject. Currently pursuing a master's in data science, I am enthusiastic about harnessing the power of data to derive meaningful insights and drive informed decision-making.

My expertise lies in machine learning, artificial neural networks, convolutional neural networks, deep neural networks and a touch of recurrent neural networks.

I'm well-versed in SQL and Python, utilizing these tools to craft innovative solutions. One notable project of mine, is a comprehensive sales analysis where I seamlessly integrated SQL and Tableau to extract and visualize data, providing actionable business intelligence.

In the realm of machine learning, I embarked on a diabetes detection project. Implementing various machine learning models, I discovered that Random Forest exhibited the highest accuracy in classifying diabetes. This project not only showcased my technical prowess but also underscored my commitment to solving real-world problems through data-driven approaches.

Currently, I am channeling my passion into a cutting-edge project on pneumonia detection. Leveraging convolutional neural networks and transfer learning, I am striving to enhance diagnostic accuracy and contribute to advancements in medical technology.

What drives me is the intersection of mathematics and data science, and my journey so far reflects my commitment to leveraging these disciplines to address complex challenges. I am excited about the opportunity to participate in Geekathon, where I can collaborate, learn, and contribute to the ever-evolving landscape of technology.