Souporno Ghosh

• Develop and validate quantitative models for structured finance asset classes, supporting credit rating assessments and reporting. • Build and enhance analytical asset and liability models across RMBS, CMBS, ABS, and Structured Credit portfolios. • Utilize Intex for cash flow modelling and scenario-based tranche and collateral analysis by integrating its wrapper with Python-based workflows for scalable analysis across portfolios. • Design and implement quantitative research models using Python, Excel, and VBA, enabling detailed asset-level insights and streamlined portfolio analysis. • Collaborate with analysts to interpret deal structures, indentures, and criteria documents; design model methodologies; and perform rating scenario analysis at the portfolio, deal, and loan levels.

Developing financial models to support the company in rating deals from multiple Structured Finance instruments (RMBS, Structured Credit, ABS)

•Assisted in the preliminary research to understand the effect of social media presence on the prices of stocks in the S&P500 •Web scrapped reviews of similar products across multiple e-commerce websites to analyze customer purchase satisfaction •Conducted lab sessions for the “Artificial Intelligence in Business” coursework catered to industry professionals •Demonstrated sentiment analysis, chatbot, object classification and fraud detection use cases through IBM Watson and Python

•Designed an asset allocation strategy for a sovereign wealth fund in the UK to fuel their economic independence during Brexit •Created a diversified indirect investment portfolio using a Ledoit Wolf Black Litterman model to beat the benchmark with 6% returns •Worked with a team of four to understand the UK’s sector performance and employment indexes to build a direct portfolio of real assets that match the Board of Director's view points and the mandates •Analyzed risk metrics that could affect our strategy •Achieved an overall return of 5.01% to beat the benchmark and tackle issues such as protectionism, unequal employments and the pandemic

•Analyzed performances of multiple stocks under the Consumer Discretionary Sector of the S&P 500 •Studied 10-K and 10-Q reports of the shortlisted companies •Used the Bloomberg Terminal to study financial statements, compare various metrics and analyze valuation and forecasts •Suggested a buy position in Nike (NKE) during April 2020

•Examined business development leads and monitored and documented market trends in SAAS sales data •Initiated market research studies and analyzed findings; developed reports and dashboards in Tableau •Improved seller base by 30%; visualized the sales data in R to study prospective sales by independent resellers •Consulted with buying personnel to determine projected demand for software products and services •Contributed to predicting probable sales pathways to aid sales of partner products

•Part of the team in charge of the billing portal for Public Service Enterprise Group •Coordinated with systems partners to finalize designs and confirm requirements •Kept abreast of emerging technologies and hands-on experience using Apache web servers •Utilized programming capabilities in PHP, SQL and JavaScript and other libraries as needed •Gained an understanding of the software development life cycle (SDLC)

Computer Science Coursework: Data Preparation and Analysis Game Theory: Algorithms and Applications Machine Learning Big Data Technologies Computer Networks Online Social Network Analysis Advanced Database Organization Geospatial Vision and Visualization Finance Coursework: Valuation/Portfolio Management Futures/Options/OTC Derivatives Financial Statement Analysis

President of the Cyber Space Group(2014), Secretary of the Cyber Space Group (2013), Joint Secretary of the Cyber Space Group (2012), Joint Treasurer of the Cyber Space Group (2011), Member of the school Tech Team for Bosco Fest 2014