Data Analyst Analytics

SAMYUKTHA KAPOOR

* Boston, Massachusetts, *****

857-***-**** # ***************************@*****.*** ï LinkedIn § GitHub Education

Northeastern University Sep 2023 – May 2025

Master of Science in Data Analytics and Engineering, GPA: 4.0 Boston, MA Relevant Coursework: Data Analytics, Data Management, Data Mining, Algorithms, Computation and Visualization Anna University Aug 2019 – May 2023

Bachelor of Engineering in Biomedical Engineering, GPA: 3.62 Chennai, India Relevant Coursework: Object Oriented Programming, Data Structures, Artificial Intelligence, Machine Learning, Java Technical Skills

Languages: Python, Java, SQL, C++, HTML/CSS, R

Database Concepts: MySQL, MS SQL, Snowflake, PostgreSQL, MongoDB Developer Tools: VS Code, Jupyter Notebook, Android Studio, Spyder, Google Collab Tools and Softwares: Tableau, PowerBI, Microsoft Excel, Qlik, Microsoft Outlook, Datawrapper, Flourish, Azure ML Libraries: Scikit-learn, TensorFlow, Pandas, Numpy, Sklearn, SciPy Experience

Corizo Dec 2022 – May 2023

Data Analyst Intern

• Developed a 15% improvement in ad targeting efficacy by developing a logistic regression model to predict user behavior

• Elevated data accuracy by 20% through cleansing and transformation using Python and Excel techniques

• Presented actionable insights with Tableau and PowerBI, facilitating more informed business decisions, while also laying the groundwork for subsequent A/B testing iterations

• Improved big data processing efficiency by 10% through the application of Apache Spark

• Boosted data extraction efficiency by 25% by navigating complex datasets using SQL Apollo Hospitals Sep 2022 – Dec 2022

Data Analyst Intern

• Attained 92% accuracy using PyTorch neural network for early medical image analysis, facilitating prompt intervention

• Improved breast cancer diagnostic accuracy by 25% using TensorFlow in medical imaging, identifying critical anomalies

• Enhanced workflows by 20% with tools like Horos, optimizing efficiency for accurate medical image diagnoses

• Used Android Studio for cross-platform visualization in Android environments, facilitating accessible data viewing

• Enabled faster decision-making in patient care by providing radiologists with intuitive medical image analysis tools Projects

MBTA Insight Hub

• Transformed Boston’s MBTA subway data with 10+ advanced visualizations, proposing targeted insights for a 15% reduction in peak-hour delays

• Elevated user experience through an interactive Google Map, fostering a 15% improvement in data comprehension

• Summarized complex data into actionable points, aiding optimized transit planning

• Link: https://sites.google.com/view/ie6700group9/home User-Centric Airbnb Exploration Dashboard

• Developed an interactive Tableau dashboard for Boston Airbnb data, reshaping market analysis with real-time insights into lodging trends

• Analyzed market dynamics by addressing key questions on pricing, room types, and top-rated Airbnbs

• Proposed a 20% reduction in average user query response time, optimizing data exploration and presentation

• Link: https://rb.gy/f77227

Dual-Stage CNN for Efficient Medical Waste Segregation

• Created a two-stage Convolutional Neural Network (CNN) achieving an exceptional 90% accuracy in the intricate categorization of medical waste in hospitals

• Spearheaded waste classification into sharp, chemical, and infectious categories in the first stage, followed by non-biodegradable, recyclable, and incinerate categories in the second stage

• Link: https://github.com/SamyukthaKapoor/Medusa

Leadership / Extracurricular

• Led a Formula Imperial Season 8.0 data analytics team, driving the development of an intelligent data pipeline to proactively identify critical failure modes, aligning with Formula 1’s high-performance standards

• Won the runner-up position in HackOverflow 2.0, a 36-hour nationwide hackathon with 200+ participating teams

• Published a paper on Deep Learning based Breast Cancer Diagnostic System using Medical Images in the IRO Journal,10.36548/jiip.2023.2.003

Contact this candidate