I am Heidy.
I am 27, from Los Angeles and new to San Francisco.
My fascination with numbers began in elementary school. I was inspired by my math courses at an early age and quickly saw how what I learned could be applied outside of the classroom.
In college, I studied business economics, became Founder and President of the Student Business Association, as well as treasurer of the Student Body Government. My work in finance began during my internship for a non-profit, researching grants, fundraising, and speaking with donors on behalf of the Progressive Jewish Alliance.
I worked three years for a division of the Housing and Urban Development, Making Home Affordable program analyzing and negotiating loan terms for homeowners who struggled during the recession and housing-market crash. Throughout the evaluation and analysis of 300 loans, I assisted in saving lenders and borrowers losses of over 3.8 Billion (USD).
Just prior to moving into the for-profit sector, I volunteered and lived for three months in the village of El Triunfo, Guatemala. I worked for The Guatemalan Project, a non-profit organization, and contributed to the improvement of their Micro-Loan program through better record keeping and planning.
I worked as an Associate at Analytic Investors, LLC a Quantitative Asset Manager and contributed to the growth of 6.7 Billion firm AUM (USD) during my two years performing analysis for Directors on the Business Development team. After the Wells Fargo Asset Management (WFAM) acquisition, I continued generating nearly 100% of quant funds performance analysis - aimed toward institutional clients, prospects, and consultants.
I am a finance professional seeking to utilize and join my financial knowledge in the tech industry and non-profit world. I am passionate about technology because it is a means by which we continue to create, advance, and challenge economies - which directly affects finance and non-profit organizations. To better equip myself, I am also studying Data Science at General Assembly to expand my knowledge of data modeling, analysis, Python, SQL, and statistics.