Sajad Ashouri

Sajad Ashouri

Data Scientist

  • Phone+358505693383
20192024

Research activity per year

Personal profile

Short bio

Sajad is a research/data scientist in business foresight focusing on Technology & Innovation Management. With a solid educational and professional background in engineering and business, Sajad has extensive experience in employing advanced data sources and methodologies in data science, machine learning, natural language processing, and social network analytics to offer data-driven solutions in strategic decision-making and business analytics. His expertise also includes presenting and communicating the value of data to researchers, policy-makers, and corporate clients. Sajad is proficient in a variety of software and programming languages, including Python, SQL, MATLAB, and STATA. As a Ph.D. candidate, relying on large-scale empirical studies, he also explores the impact of digitalization on firms’ performance.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 6 - Clean Water and Sanitation
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities

Education/Academic qualification

Master, Business, RMIT University

Aug 2018Oct 2020

Award Date: 1 Mar 2021

Master, Mechanical Engineering, Sharif University of Technology

Sept 2013Sept 2015

Award Date: 20 Sept 2015

Bachelor, Mechanical Engineering, Sharif University of Technology

Sept 2009Sept 2013

Award Date: 20 Sept 2013

Skills and expertise

  • Innovation Management
  • Technology Management
  • Technology Forecasting
  • Business Analytics
  • Data Science
  • Machine Learning
  • Neural Networks
  • Natural Language Processing
  • Text Analytics
  • Social Network Analysis
  • Large Language Models
  • business Foresight
  • Patent Data
  • Scientometrics
  • statistics

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Collaborations and top research areas from the last five years

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