Rupsa Banerjee

Background

About Rupsa Banerjee

https://github.com/birbaner/birbaner.git I am Rupsa Banerjee, a recent graduate from NJIT in Data Science. With a strong academic foundation in engineering and a focus on areas like Engineering Math, Business Economics & Accounting, Computer Applications and Programming, and Industrial Management, I have developed a versatile skill set. My expertise spans machine learning algorithms, neural networks, deep learning, data structures, Big Data Hadoop, statistics, data visualization, and database management. Additionally, I have hands-on experience with AWS, Python, MongoDB, HTML, and MySQL, providing me with comprehensive knowledge of both relational and non-relational databases. Currently, I am working as a Machine Learning Researcher on the “Human Brain Functional Connectivity with TransformerG2G” project under the guidance of Prof. Mengjia Xu at NJIT. Collaborating with experts from MIT and Oxford University, I focus on refining TransformerG2G, a graph embedding model for dynamic brain connectivity analysis using time series brain data. My work leverages transformer encoders and self-attention mechanisms to enhance link prediction tasks, advancing neuroimaging analysis by capturing temporal dependencies in brain connectivity networks. As an experienced SEO Data Analyst, I have a track record of success in applying predictive algorithms for strategic keyword prioritization, executing impactful influencer outreach campaigns, leading effective link-building strategies using data analytics, optimizing SEO strategies with Google Analytics and Webmaster Tools, driving quality content creation with data science algorithms, and applying SEM techniques with automation and TensorFlow for A/B testing. This experience has allowed me to positively influence attributes like image labeling to enhance overall website performance. My commitment to driving business success extends beyond traditional boundaries, and I bring a unique blend of analytical, organizational, and leadership skills, coupled with a proactive work ethic and creativity, all geared towards making a substantial impact in the realm of data science.