Computer Science Data Analyst

POOJA SUKHDEVE +1-617-***-**** ***************@*****.*** Github LinkedIn Portfolio

Summary: A dedicated Computer Science graduate student at Boston University with over 5+ years of experience in software development, web development and data analytics. Proficient in Python, R, SQL, JavaScript, and tools like Tableau and SHAP for data visualization and model interpretation. Developing accessible learning materials for visually impaired users and participated in award- winning hackathons. Demonstrated expertise in full-stack development, predictive modeling, and statistical analysis across academic and industry projects.

Education:

Master of Science in Computer Science, Boston University, Boston, USA January 2024 - Present Bachelor’s in Computer Science Engineering Swami Ramanand Teerth Marathwada University, India August 2013 - June 2016 Skills

Programming & Data Visualization: Python, SQL, Tableau, Matplotlib, Seaborn, PowerBI, R language Web Development: HTML5, CSS, JavaScript, Node.js, React, jQuery, API’s, Git, WordPress, TypeScript, Angular, Bootstrap Data Engineering & Tools: OpenCV, Pandas, NumPy, AWS, Spark Apache Experience

Research Assistant (Boston University, USA) Sept 2024 – Ongoing

• The Visualization Module for Python helps visually impaired users understand data structures using interactive shapes and patterns. It visually represents elements like lists and sets, offering intuitive feedback. This tool is part of a larger inclusive Python book project. Office Assistant, (IS&T, Boston University, USA) May 2024 – Ongoing

• Manage office operations, including data in Excel and communications via Outlook, while providing technical support for equipment and resolving issues during Conference. Leverage strong organizational and management skills to ensure smooth office functionality. Data Analyst (Tech Zenesis, USA) Jan 2022 - Dec 2023 Worked in a fast-paced startup, leading data collection, analysis, and visualization to support product, marketing, and business decisions. Built dashboards (Excel, Power BI), ran A/B tests, automated reports with Python/SQL, and provided insights that improved user engagement and team decision-making. Software Developer (Interbeing Foundation, India) Mar 2020 – June 2023

• Collaborate with stakeholders to define requirements, design algorithms, and develop efficient, scalable software solutions. Test, deploy, troubleshoot, and enhance applications while analyzing user feedback to recommend improvements. Create detailed technical documentation to support current and future development projects. Web Developer (Oceans Software Technologies, India) April 2018 – Mar 2020

• Worked on front-end and back-end development with expertise in HTML, CSS, JavaScript, and frameworks. Skilled in responsive design, API integration, server-side programming (PHP, Python, Node.js), and database management. Delivers scalable, user-centric web solutions while collaborating with teams to ensure functionality, usability, and accessibility. Software Trainee, (SSIT Pvt. Limited, India) Dec 2016 – June 2017

• Skilled in designing and optimizing Android applications using Java and Android SDK. Proficient in creating intuitive UIs, API integration, database management, and performance optimization, with expertise in problem-solving, Git, and testing frameworks.

Internship

Data Analyst (Globalshala Education Pvt. Limited, India) Oct 2022 –Nov 2022 Analyzed complex data using Python, SQL, and Tableau to support business decisions and improve efficiency. Created visuals, simplified data insights, and collaborated on diverse research projects. Projects

Exoplanet Data Analysis with SHAP

This project analyzed exoplanet data using machine learning models like Random Forest and Gradient Boosting, achieving 75% accuracy. SHAP was used to interpret model predictions and highlight key features influencing exoplanet detection. The approach combined accuracy with interpretability to enhance scientific insights. BRFSS Data Analytics Exploring Health Patterns and Risk Factors with R This project uses BRFSS data and machine learning to predict disease risk, supporting health insurance optimization. After cleaning and analyzing the data, models like Random Forest and KNN were trained and tuned. SHAP values provided interpretability. The best model reached 84.3% accuracy, with KNN achieving top TPR (0.7903) and TNR (0.8796). Netflix Data Visualization Dashboard using Tableau The Tableau dashboard provides a visual analysis of Netflix’s global content library, revealing U.S. dominance, a higher proportion of movies, a focus on mature-rated content, and rapid growth in diverse genres since 2015. Publications & Achievements

• 1st place at BU Hackathon 2024 for a data science model driving actionable insights and business impact

• Completed AWS Academy Cloud Foundations certification – AWS Academy, April 2025

• Chapter 6: Implementing Augmented Reality into Immersive Virtual Learning Environments. IGI Global, PA, USA (2021).

• Chapter 11: Handbook of Research on Driving Transformational Change in the Digital Built Environment. IGI Global, PA, USA (2021).

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