Kaviyarasan Sugumaran, MBA

Kaviyarasan Sugumaran, MBA

Financial Analyst @ Goldman Sachs

About

As an MBA candidate specializing in Business Analytics at Pace University, I am deeply passionate about leveraging data to drive strategic decisions in the real estate and investment management industries. With a BSc in Finance and Business Management from the University of Reading, my academic background and professional experience equip me with the analytical skills and industry knowledge necessary to excel in dynamic financial environments. During my tenure at Sunway Properties, I played a pivotal role as a Business Development Executive and Business Analyst, where I conducted thorough due diligence on 40 undervalued office buildings, identifying $600K in profitable real estate acquisitions. My work involved developing complex financial models that increased rental forecasting accuracy by 30% and implementing five cost-saving measures that reduced operating expenses by $50K. I have crafted compelling email marketing campaigns that generated 30 leads per month and achieved a 15% conversion rate for new listings. My collaborative efforts with the sales team resulted in a 30% increase in qualified leads. Additionally, I presented investment recommendations for properties with a 20% higher ROI, showcasing my ability to communicate key findings and support strategic decision-making. My participation in the CFA Research Challenge 2023 further refined my skills in financial analysis and modelling. I conducted in-depth analyses using P/E, EV/EBITDA multiples, and discounted cash flow methods, employing statistical modelling techniques such as regression analysis, Monte Carlo simulation, and value-at-risk to stress-test fundamentals and forecasts. I am skilled in Bloomberg Terminal, Python, R, Advanced Excel, Tableau, and Power BI. Passionate about numbers and data analytics and am eager to apply my expertise to drive growth and innovation in the investment management industry. I'm always looking to grow my personal and professional network. Feel free to connect via LinkedIn or contact me directly at mykarasan.sugumaran38@gmail.com.

Country

United States

City

New York

Industry

Financial Services

Skill

Artificial Intelligence (AI), Machine Learning, Commercial Deal Structuring, R (Programming Language), Tableau, Predictive Modeling, ARGUS Enterprise, Argus Modeling, Research Skills, Real Estate Transactions, Real Estate Acquisitions, Real Estate, Industrial Real Estate, Asset Management, Private Equity, Commercial Real Estate, Series 7, Bilingual Communications, Venture Capital, Startups

Experience

Goldman Sachs

Financial Analyst

Goldman Sachs

LinkedIn
2025-3 - Present · 1 yr 7 mos

Salt Lake City Metropolitan Area

• Built Python-driven analytics workflows (Pandas, NumPy) to structure and analyze high-volume financial event data (>$1B daily notional), reducing noise and surfacing decision-critical signals. • Designed automated monitoring systems (Excel VBA, Power Query, Power BI) that reduced manual review time by ~35% and improved response speed to anomalies affecting client entitlements and cash flows. • Developed scenario-based impact models to quantify how delays, misallocations, and lifecycle events propagated into downstream valuation, liquidity, and P&L exposure. • Identified recurring failure patterns and cost drivers through root-cause clustering, reducing repeat exceptions by ~25% and improving operational alpha. • Converted fragmented transaction-level data into portfolio-level intelligence, enabling leadership to assess aggregate exposure rather than isolated incidents. • Built dashboards that tracked key performance drivers (volume, resolution latency, error density), enabling proactive intervention instead of reactive firefighting. • Automated reconciliation logic across complex event structures, compressing multi-hour manual processes into minutes of deterministic computation. • Quantified hidden value leakage in lifecycle workflows and designed controls that preserved economic value otherwise lost to timing and processing friction.

Lionchase North America

Portfolio Analyst

Lionchase North America

LinkedIn
2024-1 - 2025-3 · 1 yr 3 mos

Washington, United States

Sunway Property

Commercial Real Estate Analyst | Financial Modelling | Retail Marketing Analytics

Sunway Property

LinkedIn
2021-7 - 2022-12 · 1 yr 6 mos

Johor Bahru, Johore, Malaysia

• Conducted thorough due diligence on potential investments (40 undervalued office buildings) during pandemic to assess potential viability for property portfolios. • Developed complex financial models to evaluate property performance, ROI, and risk metrics, contributing to a 30% increase in accurate rental forecasting and decision-making. • Identified RM 3 million ($600K) worth of profitable real estate acquisitions by conducting extensive market research to assess investment opportunities. • Presented investment recommendations of undervalued properties with 20% higher ROI, effectively communicating key findings and rationale. • Improved property cashflow by incorporating 5 cost-saving measures that reduced operating expenses across a portfolio of commercial properties by RM 200K ($50 K) • Tracked ongoing density and utilization of space to increase work environment efficiency by 10% • Generated 30 leads per month by crafting compelling email marketing newsletters. • Created content that led to a 15% conversion rate for new listings. • Collaborated with sales team to create targeted marketing campaigns that generated 30% more qualified leads. • Contributed in forging synergistic cross-border join-venture partnership with 2 multinational developers in India.

Education

Pace University - Lubin School of Business

Pace University - Lubin School of Business

LinkedIn

Investments and Securities

2023-1 - 2024-12 · 2 yrs

Relevant Coursework: Creating Value Through Finance, Portfolio Analysis & Management, Behavioral Finance, Real Estate Finance

ICMA Centre

ICMA Centre

LinkedIn

Finance, General

Henley Business School

Henley Business School

LinkedIn

Finance, General

2018 - 2020 · 2 yrs

Relevant Coursework: Portfolio Management, Corporate Finance, Credit Risk, Derivatives Trading

Pace University - Lubin School of Business

Pace University - Lubin School of Business

LinkedIn

Business Analytics

2023-1 - 2024-12 · 2 yrs
Harvard Online

Harvard Online

LinkedIn

Artificial Intelligence

2024-9 - Present · 2 yrs 1 mo
Harvard Online

Harvard Online

LinkedIn

CS50's Introduction to Artificial Intelligence with Python

2024-9 - Present · 2 yrs 1 mo

Kaviyarasan Sugumaran, MBA's Contact Information

Email

******@***.com

Phone

(**) *** ****

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