Sharon Xavier

SHARON XAVIER Currently I am an MSc Data Science student at Newcastle University with a strong Productminded and hands-on experience building AI-driven healthcare solutions, translating complex user needs into scalable, high-impact products. Strong foundation in consumer health AI, machine learning, LLM-powered analytics, and cross-functional collaboration. Education Sep 2025 – Present Newcastle University MSc Data Science Relevant Coursework: Machine Learning, Image Processing, Data Visualization, Applied Statistics • • • Designed end-to-end ML pipelines for classification and regression using Python, aligning technical outputs. Built Power BI dashboards to communicate insights clearly to non-technical stakeholders. Applied CRISP-DM methodology to standardize healthcare data workflows for reproducibility and trust Aug 2022 – May 2025 Sri Ramakrishna College of Arts and Science for Women Bachelor of Computer Applications (BCA) • • • • Achieved a final grade of 88.98%. Built a Breast Cancer Prediction System with 92% accuracy and deployed a Streamlit web application for user-friendly interaction. Authored a 14,000+ word academic review on automated cancer classification, bridging research and applied AI. Led a 5-member cross-functional team during an Internal Hackathon, earning recognition for execution and impact. Product and Data Experience AI / Data Analytics Intern — AICTE & VOIS for Tech (Virtual) Oct 2024 – Nov 2024 • Applied LLM-powered analytics to extract insights from complex datasets. • Translated raw data into actionable narratives, supporting data-driven decisionmaking. • Strengthened understanding of responsible AI usage and model evaluation. Additional Experience June 2018 – April 2022 • • A.D. Paul & Co., India (Accounts Assistant) Owned financial datasets for 50+ clients, ensuring data quality, governance, and compliance Built structured Excel reporting systems, reducing reporting errors and improving operational efficiency • Developed strong stakeholder communication skills by translating financial insights into business decisions January 2024–March 2024 • Avalanche, India (Event Volunteer) Communicated and coordinated the check-in process, articulating clear instructions and handling attendee queries, building strong partnerships with stakeholders, and facilitating seamless operations. Key Projects • Automated Breast Cancer Classification (Healthcare AI) o Achieved 92% model accuracy, presented at a National Conference o Designed with a user-centric diagnostic workflow, improving interpretability for clinicians • AI-Powered Cloud Security (Generative AI) o Reduced false positives by 30%, presented at an International Conference o Balanced model performance, trust, and real-world usability • Retail Analytics Dashboard o Analyzed customer behavior and geographic trends using Excel and BI tools o Delivered insights aligned with business KPIs and growth strategy Certifications & Training 1. Advanced Data Analytics — Coursera (Online) July 2025 2. AI/ML for Geodata Analysis — ISRO (Online) August 2024 3. Python for Data Science — NPTEL (Online) July – August 2024 4. Google UX Design- Coursera (Online) August 2022 Key skills • Product & Strategy: Product discovery, user research, requirements definition, KPI tracking, experimentation • AI & Data: Python, SQL, Machine Learning, LLM analytics, Image Processing, Data Visualization • Tools: Power BI, Streamlit, Excel, Tableau (basic) • Collaboration: Cross-functional leadership, stakeholder communication, technical storytelling Achievements • Best Debugger — Sri Ramakrishna College • Best Research Project Nominee (2025) — Avalanche