Data Analyst
Resume:
Shahla Jahangard
******.*********@*****.***
Fairfax, VA
A highly motivated and disciplined statistical science Master’ student with multitude of crucial and distinctive skills, seeking an Internship position. I have a strong resourceful, analytical mind, with strong communication and problem-solving abilities. Seeking opportunity to apply passion for analysis of empirical evidence in an environment conducive to learning and growing as an Applied Statistician.
Career Snapshot
Overall 5 years of rich experience in Statistical Science SAS R SPSS Minitab Python SQL C++ Excel LaTex JMP Microsoft Work Experience
August.2019
present Teaching Assistant
GEORGE MASON UNIVERSITY
Explained statistical concepts to students and taught how to work with statistical software and interpret outputs.
Assisting several students in improving their grades to ‘A’ level by end of the semester.
Created numerous documents with LaTeX and visualizations with R and ggplot2. May.2017 Data Analyst Intern
May.2018 SAMAN HEALTH INSURANCE
Developed statistical models and machine learning algorithms and scaling to predict insurance company performance.
Developed data visualizations and analytic tool for team to generate graphics and insights written in R using Shiny.
Analysis and maintenance of various performance metrics to ensure the effective progress of several health institutes.
Built an end-to-end distributed data processing using SQL as the primary language with SAS to ingest data from a variety of data sources, process and model data by non-linear regression. May.2016 Statistical Analyst
May.2017 ISFAHAN UNIVERSITY OF TECHNOLOGY
Designed survey research studies including questionnaire development, sample selection, checking survey results.
Experienced SAS, SQL and Python programming, statistical analysis and data reporting.
Responsible for gathering data from multiple data sources, using SQL and Minitab. Using this clean and augmented data for further machine learning techniques (regression, time series analysis) to create new analytical products.
Dec.2015 Statistician Intern
April.2016 BAHMAN MOTOR CAR FACTORY
Performed exploratory data analysis of real dataset and wrote report highlighting challenges in its use for internship project.
Practiced using SPSS and R packages for working on dataset that enhances administrative data with financial insights. It is a predictive model and provides an expected probability of outcome base on workers and factory big data to increase worker’s satisfaction by using Linear Regression and Machine Learning (Logistic Regression) for modeling.
Learned CSpro for graph database and wrote graph queries for recommendation system.
Emerged as a leader among other interns, demonstrating documentation and coding standards and assisting other interns.
working directly on Quality Control department, wrote and debugged SQL queries to add, modify, and retrieve data.
2/2
Met with management department directly to discuss requirements for features and enhancements.
Selected Courses
Applied Statistics I and II
Time series
Statistical inference
Database
Learning From Data
Machine Learning
Topics in Information Systems
Biostatistics
Data science for Business
Education
2019-May2021 Master in Statistical Science
George Mason University, US
2015-2017 Master in Mathematical Statistics
Isfahan university of Technology, IR
2009-2015 Bachelor in Statistics
Shahid beheshti university, IR
Certificate
Spring 2021 Essential Data Science for Business
National institute of statistical science, US
Publication
2014 Collaborated with Earth Science Conference and represented a conference article at 33rd Earth Science Conference. (Tehran, Iran. Data mining and working with statistical software (SPSS, Minitab) for analyzing data on methane gas for growth in health workers.) 2018 Achieving acceptance from two ISI Journals, innovated a new distribution, and introduced to two journals (Communications Faculty of Science, University of Ankara, Series A1 Mathematics and Statistics) and (International Journal of Supply and Operations at Management, 2018). (Using statistical methods on big data, Data cleaning, management and analysis using R, Excel, SQL)
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