Samyuktha Kapoor
Grad Student @ Northeastern University
Based in Boston, Massachusetts
About
I am a Master's student in Data Analytics at Northeastern University, specializing in data engineering, analytics, and automation. As a Data Engineering Intern at Corizo, I improved system performance by 30% through CRM database updates, ETL processes, and workflow optimization, and earlier, I streamlined data integration pipelines and applied advanced business process optimization techniques to enhance operations. My role as a Teaching Assistant for the Data Mining course sharpened my ability to guide students in advanced analytical techniques. At IIT Kanpur, as a Research Analyst Intern, I achieved 97% accuracy in breast cancer detection using deep learning. Proficient in Python, SQL, Tableau, and Power BI, I am passionate about solving real-world problems through data-driven insights.
Skills
Projects
Experience
November 2022 - April 2023
Data Engineeer Intern at Corizo
Executed project planning and monitoring for CRM database updates and ETL processes, improving reporting accuracy and system performance by 30% through risk management and documentation. Leveraged MySQL with Joins, Triggers, and Stored Procedures to streamline data transformation and warehousing, while utilizing Excel tools like Pivot Tables, Macros, and VBA to automate workflows and optimize processes. Delivered 100+ ad hoc reports aligned with KPIs, updated Tableau dashboards for data-driven decision-making, and analyzed customer feedback to enhance communication, problem-solving, and sales strategies.
November 2021 - January 2022
Research Analyst
Conducted feature analysis and computer vision techniques for breast cancer detection, achieving 97% accuracy through image classification, segmentation, and data validation, contributing to clinical data reports. Enhanced data tracking and predictive modeling by 15% with standardized reporting techniques to improve data alignment and accuracy. Automated data preprocessing and statistical modeling using SAS, streamlining processes, resolving issues, and improving healthcare analytics for better patient outcomes. Co-authored a research paper on a deep learning-based breast cancer diagnostic system featured in the IRO Journal, following an extensive literature review.
Education
2019 - 2023
Bachelor of Engineering in Rajalakshmi Engineering College
At Rajalakshmi Engineering College, I completed my Bachelor of Engineering with a GPA of 3.7/4. My academic focus included pivotal subjects such as Artificial Intelligence, Biomedical Engineering, Data Structures, Machine Learning, and Medical Imaging. A major milestone of my undergraduate studies was publishing a research paper on "Deep Learning based Breast Cancer Diagnostic System," which provided innovative insights into using machine learning for medical diagnostics. Additionally, I served as the Vice President of the Debate Club and the Public Relations Officer for the Atrium Club, where I mentored over 500 students, trained them in debate skills, and organized various engaging events. These roles significantly enhanced my leadership and organizational capabilities.
2023 - 2025
MS in Data Science and Analytics Engineering at Northeastern University
I am pursuing a Master of Science in Data Science and Analytics Engineering at Northeastern University, where I maintain a 4/4 GPA. My studies focus on Data Management, Data Mining, Computation and Visualization, Product Management, and Natural Language Processing, preparing me for advanced roles in data science and analytics. I am actively involved as a core member of the Tech Club "First Byte," where my team and I visit high schools to educate students and conduct workshops on the basics of coding using Python and building Machine Learning models. Additionally, I have successfully organized hackathons and provided mentorship to students through volunteer work. These activities not only supplement my technical skills but also enhance my leadership and community engagement.