Help & Supportcareers@gravityer.com
CEO at American Capital | Leading Healthcare Innovation as a Pharmacy Owner | Expert in Real Estate Investment & Development | Driving Growth Across All Industries.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Senior Investment Analyst with a demonstrated history of working in the investment management industry. Skilled in financial modeling, Trading, Portfolio Management, and coding. Strong finance professional with a Masters in Finance from The George Washington University.
The George Washington University School of Business
Masters in Finance, Finance
January 1, 2013 – January 1, 2015
University of Balamand
M.Sc. CE, Civil Engineering
January 1, 2007 – January 1, 2012
American Capital
Chief Executive Officer
July 1, 2022 – Present
Texas, United States
Mcube Investment Technologies
Senior Investment Analyst
July 1, 2015 – July 1, 2022
Dallas-Fort Worth Metroplex
George Washington University
Graduate Teaching Assistant
September 1, 2014 – December 1, 2014
Washington DC-Baltimore Area
Ritz Banc Group
Intern
June 1, 2014 – January 1, 2015
Washington DC-Baltimore Area
George Washington University
Graduate Research Assistant
September 1, 2013 – September 1, 2014
Washington DC-Baltimore Area
Hayek Group
Finance Director
August 1, 2010 – March 1, 2013
Crashing a Schedule: an Algorithmic and Programming Approach
October 1, 2011 – Present
The purpose of this study is to tackle an important method in the scheduling of a project, crashing a schedule. Crashing the schedule has proved to be a time consuming manual task and susceptible to errors. A need for a clear algorithm is vital as well as implementing this algorithm in a programmed software. This report starts with an introduction about the subject and an explanation about the process of manual crashing as well as previous attempts to tackle the subject. Then, it fragments the manual method of crashing into single operations. Each of those operations is analyzed for programmability and a list of programmable tasks is determined. A general algorithm is then stated, and it is programmed in JavaScript along with a user friendly web interface. An example of a new project and another for an ongoing project are then crashed manually and by the software, and the results are compared.
Infrastructure projects
February 1, 1992 – Present
Bridges, overpass concrete passage, highway renovation and maintenance, telephone and electrical distribution works, water and drainage systems, irrigation projects.
Beta Gamma Sigma
Beta Gamma Sigma
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily rooted in finance and civil engineering, with a recent entrepreneurial venture. While there's a strong analytical foundation, the direct alignment with a typical 'Data Analyst' role in a tech-centric or product-driven company might require adaptation. The project diversity is present (infrastructure, algorithmic scheduling), but the core professional experience is specialized in finance. The breadth of skills includes SAS and JavaScript (from a personal project), but a broader set of data analysis tools (Python, R, SQL, advanced visualization tools) is not explicitly detailed in professional experience, which could impact cultural fit in a modern data team.
Soft Skills & Operational Fit
The candidate's experience as a CEO and Senior Investment Analyst suggests strong leadership, communication, and decision-making skills. Their role as a Graduate Teaching Assistant indicates an ability to explain complex concepts and support others. The project on 'Crashing a Schedule' demonstrates problem-solving and algorithmic thinking. However, the provided data does not offer direct insights into stress handling or team collaboration beyond role descriptions.