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Data Science & Advanced Analytics at Aviva | Insurance Pricing & Claims Fraud Analytics | Gen AI
Data Scientist with 4 years exp, currently working at one of the global leaders in Insurance and Financial Services, having completed a MSc in Data Science and Analytics from the University of Leeds. Domain experience in Fraud Analytics, Pricing Analytics, Text Analytics, Forecasting, and Gen Ai in the Finance & Insurance domain. Executive Management program from IIM K. Attained a professional Data Science certification from Harvard University, and mentored over 100 students to kickstart their careers in the field of Data Science by conducting workshops in schools across India and guest lectures at universities globally
Indian Institute of Management, Kozhikode
Management Development Program
June 1, 2024 – June 1, 2025
University of Leeds
Master of Science - MS, Data Science and Analytics
September 1, 2022 – October 1, 2023
Delhi Public School (DPS)
High School, Computer Science
June 1, 2017 – Present
SRM IST Chennai
Bachelor's degree, Computer Software Engineering
January 1, 2017 – January 1, 2021
Aviva
Data Scientist - Claims & Pricing
May 1, 2024 – Present
England, United Kingdom · Hybrid
Vrudhi LLP
Data Consultant - Finance
October 1, 2023 – April 1, 2024
India · Hybrid
Mu Sigma Inc.
Decision Scientist
July 1, 2021 – July 1, 2022
Bengaluru, Karnataka, India · Hybrid
Ecom Express Limited
Data Science Intern
May 1, 2021 – June 1, 2021
India
TNQTech
Machine Learning Intern
June 1, 2019 – July 1, 2019
Chennai, Tamil Nadu, India · On-site
Professoional Certification in Data Science
Harvard University
June 25, 2026 – Present
Strategy Consulting
Boston Consulting Group (BCG)
June 25, 2026 – Present
Microsoft SQL
Udemy
June 25, 2026 – Present
R Programming for Data Science
Udemy
June 25, 2026 – Present
Python for Data Science
Udemy
June 25, 2026 – Present
Decoding Block chain: Analysing Big data(National Workshop)
SRM IST Chennai
June 25, 2026 – Present
Natural Language Processing with Python
Udemy
June 25, 2026 – Present
Statistics for data science and business analytics
Udemy
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse industries (insurance, finance, logistics, consulting) and roles (Data Scientist, Decision Scientist, Data Consultant), indicating adaptability. The educational background includes both technical and management development, suggesting a broad interest. However, the target role 'Analytics Engineer' requires a strong focus on data pipeline construction, data modeling, and data warehousing best practices, which are not the primary focus of the candidate's listed experience, which leans more towards data science and modeling. This might indicate a slight mismatch in the core responsibilities typically associated with an Analytics Engineer.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight problem-solving (fraud detection, pricing automation) and analytical thinking. The 'Management Development Program' suggests an interest in leadership or strategic thinking. However, specific soft skills like teamwork, communication, or adaptability are not explicitly detailed in the provided job descriptions.