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Financial Analyst Data

Los Angeles, California, United States
May 01, 2019

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**** ******* ***, *** *******, CA ***25 cell: 310-***-****


Proficient knowledge in statistics and Highly analytical, problem solver, Self-motivated and dependable while achieving high performance with minimal supervision. Worked with data from various sources including sales, product, and customer databases. Expertly advanced in utilizing computer software, such as SAS, to analyze complicated data and draw accurate conclusions. EDUCATION AND TRAINING

2019 Master of Science: Applied statistics

California state University - Long Beach, CA

2005 Bachelor of Science: Statistics

University of Tehran


Quantitative statistics &Bayesian statistics

Data mining, cleaning, and munging

Data visualization and reporting techniques

computer skills:

SAS, SAS Enterprise Miner, R, Minitab, SPSS, Tableau, Excel, PowerPoint, Word,mySQL EXPERIENCE

Data Analyst

United Parking and Property INC - Los Angeles, CA Dec 2012-March 2019

Translating numbers into meaningful facts for businesses to help them make better business decisions also forecast upcoming investment profit.

Used Excel & Tableau to Visualize trends in data and SPSS and MiniTab software to track and analyze data.

Completed market analysis, resulting in a 17% increase in sales by changing working hours.

Statistical Consultant

California State University - Long Beach, CA Feb-Aug 2018

Built statistical models using SAS and R.

Carried out statistical analysis and interpreted results to clients.

Prepared final reports and tables for production.

Prepared data for processing by organizing information and checking for any inaccuracies.

Financial Analyst

Ecoex INC - Los Angeles, CA Jan-Dec 2016

Consolidating and analyzing financial data, considering company’s goals.

Providing creative alternatives and recommendations to reduce costs and improve financial performance

Analyze financial data and create financial models for decision support.

Analyze past results, perform variance analysis, identify trends, and make recommendations for improvements.


SAS Enterprise Miner

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