AMIR ZIAI
**** ********, ******, ** ***** acgej1@r.postjobfree.com Cell: 310-***-****
TECHNCAIL SKILLS SQL, C#, Python, VBA, R, JavaScript
EXPERIENCE DATA SCIENTIST & FOUNDER INVESD (ACQUIRED), IRVINE
SEP 2013-SEP 2014
Extracted a large data set of Wall St and independent analyst recommendations from
multiple public sources using NLP, which is twice the industry benchmark data set size
Developed regression models based on analyst performance that increased equity
direction prediction accuracy by 30% compared to a Bloomberg consensus benchmark
Ran daily A/B tests to identify channels and to increase engagement KPIs using user
behavior logs and website analytics, which achieved a 25% WoW growth over 3 months
Collaborated with a core group of users selected based on 100 interviews which formed
a close feedback loop for UI design and visualization. Presented at Google NEXT.
QUANTITATIVE ANALYST GREAT ROAD CAPITAL, LOS ANGELES
FEB 2012-AUG 2013
Collaborated with the executive team to map qualitative concepts to quantitative
investment criteria, wrote scrapers for sourcing public data, wrote scripts to clean,
transfer, and merge internal data in Excel format into a SQL Server database
Developed a central web-based dashboard in C# for reporting, filtering and
manipulating company data
Developed a framework for simulation of fund-level risk-return profiles using regression
and waterfall models using VBA that became a part of investor presentation material
EDUCATION UNIVERSITY OF CALIFORNIA, BERKELEY
MASTER OF INFORMATION AND DATA SCIENCE (PART-TIME, CLASS OF 2015)
SIMON FRASER UNIVERSITY, VANCOUVER
MASC, ENGINEERING SCIENCE, INTELLIGENT SYSTEMS & CONTROL (2009-2011)
SHARIF UNIVERSITY OF TECHNOLOGY, IRAN
BACHELOR OF ENGINEERING, MECHATRONICS ENGINEERING (2004-2008)
PROFESSIONAL Data Science Certificate, General Assembly
DEVELOPMENT
Chartered Financial Analyst (CFA), passed level 3
PUBLICATIONS Comparison of regression models for estimation of isometric wrist joint torques using
surface electromyography, Journal of NeuroEngineering and Rehabilitation, Sep 2011
On the performance of the Pareto Set Pursuing (PSP) method for mixed -variable multi-
objective design optimization, ASME Journal of Mechanical Design, July 2010