Saurav Sharma

With a background in finance and a strong foundation in machine learning, I am a dedicated professional driven to expand my expertise and contribute to the financial industry My passion lies in leveraging advanced data analytics and predictive modeling to enhance decision-making processes. Enthusiastic about gaining valuable experience and further honing my skills, I am eager to embark on new challenges and collaborate with professionals in the field. Committed to continuous learning and growth, I aspire to make a meaningful impact in the world of finance.

Event/Facilities Assistant

Stony Brook University - SUNY

Stony Brook, NY, USA

Sep 2022 - Present

• Manage daily operations at a vibrant community center, serving 100+ students daily, overseeing event logistics, technical support, user assistance, and issue resolution.
• Coordinate set-up and break-down for various classes and events, prioritizing safety compliance and the swift resolution of any challenges to ensure smooth operations

Bank of Baroda

Intern - Treasury and Risk Department

Bank of Baroda

Dubai - United Arab Emirates

Jun 2023 - Jul 2023

• Projected default rates through the implementation of Vasicek and CART (Classification and Regression Tree) models, conducted a comparative analysis of the results, and contributed to enhanced risk assessment and mitigation strategies
• Acquired comprehensive knowledge and practical experience in implementing key financial regulatory guidelines, including Basel, IFRS 9, and ECL calculations
• Provided valuable assistance to traders on the Global FX desk, enabling them to capitalize on arbitrage opportunities and maximize FX trade earnings
• Ensured seamless financial communication by adeptly managing SWIFT messages within the Treasury Department's back office, guaranteeing reliability and efficiency in financial transactions

Ashok Leyland

Assistant Data Analyst Intern

Ashok Leyland

Ras Al-Khaimah - Ras al Khaimah - United Arab Emirates

Jun 2022 - Jul 2022

• Implemented a graph-based tracking system to monitor employee efficiency, update task frequencies, and enable effective performance evaluation
• Analyzed vehicle performance through statistical models, providing valuable insights into efficiency, reliability, and overall performance factors

Stony Brook University

Stony Brook, NY 11790 (USA)

BSc Computer Science and Applied Mathematics & Statistics