Asefeh Bakhshian
About Asefeh Bakhshian
Asefeh Bakhshian is a Data Science Fellow at SharpestMinds in Toronto, Ontario, Canada, with expertise in Python web scraping and data analysis. She has a background in accounting and data science, having studied at Sheridan College and Payame Noor University, and has experience in developing data pipelines and utilizing cloud services.
Work at SharpestMinds
Asefeh Bakhshian has been employed as a Data Science Fellow at SharpestMinds since 2020. In this role, she applies her data science skills to various projects, contributing to the development of innovative solutions in the field. Her work involves leveraging her expertise in data analysis and modeling to support business objectives.
Education and Expertise
Asefeh Bakhshian studied at Sheridan College, where she completed several programs related to Data Science, including Data Science - Business Problem & Data Modeling, Data Modeling/Warehousing and Database Administration, and Data Science - Data Exploration and Basic Stats, achieving certificates in 2019. She also holds a Bachelor's degree in Accounting from Payame Noor University, which she completed from 2001 to 2007. Her expertise includes Python web scraping, R for statistical analysis, and cloud computing on platforms such as Google Cloud Platform and Amazon Web Services.
Background
Asefeh Bakhshian has a diverse background in data science and business development. Prior to her current role, she worked as a Data Scientist at the Toronto Machine Learning Society from 2020 to 2021. She also served as a Project Coordinator and Business Development Data Scientist at HEUGHES Canada Inc. from 2018 to 2020. Her experiences have equipped her with a strong foundation in data analysis and project management.
Technical Skills and Projects
Asefeh Bakhshian possesses technical skills in Python, R, and various data science tools. She has developed a streaming pipeline on Google Cloud Platform using Cloud Pub/Sub and DataProc to analyze customer demographics, which provided actionable insights for business revenue growth. Additionally, her current research focuses on building a chatbot and creating text analytics and voice recognition systems, emphasizing natural language processing and understanding applications.
Data Science Tools and Technologies
Asefeh Bakhshian is experienced in using a range of data science tools and technologies. She utilizes Python libraries such as BeautifulSoup, URLLIB, and requests for web scraping. Her work also involves using R for linear regression, correlation, and survival analysis. In cloud computing, she employs Amazon Web Services, including EC2, RDS, S3, and Sagemaker, to support various data science tasks.