Aneesh Edwankar
312-***-**** ● adhm0l@r.postjobfree.com
EDUCATION
Loyola University Chicago – Quinlan School of Business Chicago, IL Master of Science, Finance (STEM) Feb. 2020
Coursework: Big Data in Python, Derivative Securities, Financial Math & Modeling I (VBA), Financial Math & Modeling II
(Python), International Financial Management, Valuation, MSF Capstone Course, Interest Rate Risk Management, Applied Econometrics, Investment Management, Business Ethics, Credit Risk Management and Structured Finance University of Mumbai Mumbai, India
Master of Commerce, Banking & Finance May 2016
University of Mumbai Mumbai, India
Bachelor of Commerce, Financial Markets Apr. 2014
EXPERIENCE
Rambler Investment Fund (Student Organization) Chicago, IL Junior Analyst Sep. 2019 – Feb. 2020
• Collaborated with team of 4 to conduct business valuations and choose investments in the energy sector using the DCF method, fetching a 3% return
• Drove portfolio to a 6th place finish out of ~30 teams investing in different sectors
• Pitched investment ideas to the school board and received approval from professional analysts based on results PACE Finance Corporation Los Angeles, CA
Micro-Lending Intern May 2019 – Jul. 2019
• Assisted Loan Counselors in designing business loan packages for organizations in the L.A. community to receive SBA approval, overseeing all micro-loans (under $500)
• Audited clients’ books of accounts and collaborated with loan officers to produce 47 loans in 1 month, averaging $700 each
• Initiated B2B marketing efforts to enroll new and previous clients, increasing customer base by 5% and retention by 12%
• Pitched innovative ideas to improve processes, such as offering free consultations to clients for completing satisfaction surveys and establishing an investment club to create internal funding instead of using banks ACADEMIC PROJECTS
Analyzing Short-Term Currency Behavior 2019
• Analyzed the change in the currency exchange of GBP/USD in the spot market (16th – 20th Sept). Forecasted the future currency rate (31st Oct 2019, Brexit deadline) with 2 methods, Purchasing Power Parity (PPP) and Arbitrage-Free Model. Visual Basic Studio: Asset Backed Securities (ABS) 2019
• Computed interest and principal from 5 different mortgage tables, then assigned them with securities with differing maturities, interest and principal needed. Created 50 different simulations of the stock price and calculated the mean. Python and Tableau: Lending Club Declined Data 2018
• Conducted an analysis of loans getting rejected/accepted for residents of Chicago, based on different variables. Cleared raw data in CSV format to eliminate undesirable variables and used logistic regression to analyze if loans were sanctioned.
• Utilized Tableau and conducted heat map for data visualization to show how different independent variables affected the status and sanctioning of loans.
Stata: Level of Education Affects Employment 2018
• Conducted analysis to determine level of education’s effect on job salary by applying Multiple Linear Regression to evaluate the hypothesis and independent variables, determining that the hypothesis cannot be rejected. Machine learning on RStudio/Python 2018
• Analyzed concepts like Monte Carlo Simulation, Stochastic Process, Normal Distribution, Log Normal Distribution, Binomial Distribution, Black-Scholes Model and Value at Risk (VaR).
• Charted daily, weekly, and monthly returns of various companies and computed the correlation and covariance matrix of the adjusted daily log returns.
Financial and Economic study of the Indian Petroleum Companies: BPCL and HPCL 2014
• Conducted 2 separate studies on Hindustan Petroleum Corporation Limited and Bharat Petroleum Corporation Limited, comparing revenues and profit margin.
CERTIFICATIONS
Bloomberg Market Concepts 2019
Mutual Funds from ICICI Bank Learning Matrix 2014
Essentials of Derivatives from ICICI Bank Learning Matrix 2013 General Insurance from ICICI Bank Learning Matrix 2013 SKILLS
Technical: Python, RStudio, VBA, Stata, SQL, Tableau, Excel, PowerPoint Languages: English (fluent), Hindi (conversational), Marathi (conversational)