Nastaran Nazemian

About Nastaran Nazemian

I am a data analyst with more than 5 years’ experience managing data collection processes, analyzing data, and creating models for forecasting income and expenses.While working on my Master\'s degree in statistics, I started my career as a statistician in a research company. In that role, I developed my ability to work independently as well as with a team. My flexibility and ability to deliver accurate work, combined with my proven ability to meet deadlines consistently, resulted in my employer assigning me to several different assignments of increasing responsibility.After I moved to the United States, I spent my time improving my English. After a while, I found a Data Analyst position in Receivable Performance Management. As a member of the strategy team, I analyzed the performance of the company\'s representatives. I designed and generated various regular monthly reports, including performance metrics, forecasts, and suggestions for improvements that I presented directly to the CEO and CFO.After my daughter was born, I stayed home to take care of her. At the start of the Covid-19 Pandemic, I decided that it would be a good time to enroll in a remote learning program to learn more about new tools for analyzing data. I enrolled in the Data Science program at the FLATIRON SCHOOL, an award-winning coding Bootcamp. As part of my coursework there, I worked on different projects such as Answer Correctness Prediction, a Movie Recommendation System, and Credit Card Fraud Detection.I believe my knowledge and skills in machine learning, deep learning, modeling, and forecasting would be very useful to any business that wants to improve its ability to mine, analyze, and make informed business decisions based on data.Having graduated from the FLATIRON Data Science Program this past January 2021, I am actively seeking my next employment opportunity. If you would like to know more about how I can help support your business, please contact me at: n••••••••@gmail.com.

Experience

1. Data Scientist

   Deloitte

   Aug 2021 — Present · Seattle, WA, US

   Analyzed more than customer service messages. Used NLP algorithms and text analysis tosystematically identify the emotional tone behind the customer contacts, and categorized them based onthe positive, negative, and neutral scores. Analyzed more than computer generated log messages. Used NLTK algorithms for analyzingthem. Clustered them in 3 groups based on their pattern.

Education

• Ferdowsi University of Mashhad

  Bachelor’s Degree, Statistics

  2005 — 2009

• Islamic Azad University

  Master’s Degree, Statistics

  2011 — 2013

• Flatiron School

  Data Science

  2020 — 2021

Skills

• Minitab
• Management
• Data Analysis
• Sql
• Microsoft Office
• Sas
• English
• Nosql
• Statistics
• Spss
• Research
• Teaching
• R
• Microsoft Excel