Data Science with 2+ years in data science & analytics for healthcare
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Analytical and detail-oriented Data Analyst with an MSc in Data Science and Analytics and over 3 years of experience in transforming complex datasets into actionable business intelligence. Proven expertise in Python, SQL, Power BI, and Tableau to drive data-driven decision-making. Specialized experience in managing enterprise-level data for US-based Healthcare clients, ensuring high system availability and HIPAA-compliant data handling. Adept at bridging the gap between technical data metrics and strategic business requirements in the UK and global markets.
University of Hertfordshire
MSc Data Science and Analytics · Data Science and Analytics
January 1, 2024 – February 1, 2026
Health Catalyst
Data Analyst Engineer
February 1, 2025 – February 1, 2026
United Kingdom
HCL Technologies Pvt. Ltd
Graduate Engineer Trainee
March 1, 2022 – December 1, 2023
India
Urban Air Quality Prediction
June 18, 2026 – Present
Developed a regression-based machine learning framework to predict air quality patterns based on environmental variables
Healthcare AI Skin Cancer Detection
June 18, 2026 – Present
Engineered a Deep Learning model for the identification and detection of skin cancer, demonstrating early expertise in healthcare data applications
Seismic Pattern Analysis
June 18, 2026 – Present
Conducted statistical analysis on earthquake patterns in Japan to derive meaningful geological insights
Microsoft Azure Fundamentals (AZ-900)
Microsoft Azure
June 1, 2026 – Present
Python for Data Science
IBM
June 1, 2026 – Present
Power BI and SQL Specialist
FLM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across academic projects (urban air quality, skin cancer detection, seismic analysis) and professional roles (healthcare analytics) demonstrates a diverse interest in applying data science. Their commitment to continuous learning (MSc, certifications) and advocacy for data democratization aligns well with a culture of innovation and knowledge sharing. The healthcare domain expertise is a strong fit for roles requiring specialized data handling and ethical considerations.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, particularly in identifying performance gaps and forecasting trends. Their experience in collaborative reporting and stakeholder engagement indicates good communication and teamwork abilities. The focus on data integrity and system monitoring suggests a detail-oriented and responsible approach to data operations.