Sage Rashidiani

Sage rashidiani

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  • Timeline

  • About me

    Data Scientist | Python, SQL, and Machine Learning Enthusiast Driving Business Impact

  • Education

    • Mcmaster university

      2021 - 2022
      Master of science - ms electrical and computer engineering
    • Isfahan university of technology

      2014 - 2018
      Bachelor of applied science - basc signal processing
  • Experience

    • Isfahan university of technology

      May 2016 - May 2017
      Research assistant

      - 5 wrist movement detection using machine learning models.

    • Peyke bartar

      Jul 2018 - Jan 2019
      Junior marketing consultant

      -Participating in marketing and negotiation workshops-Making over 50 sales phone calls per day- Educating small business owners on marketing concepts- Designing and executing of printed advertisement campaigns for 5 new clients- Analyzing the campaign's outcomes and suggesting modifications

    • Smart architecture of espadana co.

      Feb 2019 - Dec 2020

      - Met with clients to understand their demands. - Coordinated with international partners to accelerate product development.- Coordinated with the research and development team to meet clients' demands. - Closely collaborated with the marketing team to execute an optimized content and social marketing campaign (Led to appearing in 3rd or 2nd search result for the targeted keywords).- Provided technical support to the sales team.- Developed Verilog codes for FPGA-based fiber communication systems. Show less

      • Associate Product Manager

        May 2019 - Dec 2020
      • Hardware Design Engineer

        Feb 2019 - May 2019
    • Mcmaster university

      Jan 2021 - Dec 2022
      Research assistant

      - Derived up to 22.95\% classification improvement by devising a novel method for analyzing questionnaire data using pre-trained NLP models.- Developed a Deep Learning model for predicting 6-month emergency department visits for Mental Health Decision Support systems- Improved trust in AI algorithm by proposing a new explainability method for BERT- Data Processing (e.g., questionnaires with over 1000 question entries and medical history data with over 200K records

    • Canadian tire financial services

      Mar 2023 - now
      Data scientist

      - Conducted thorough analysis of historical application data to uncover patterns and potential indicators of fraudulent behavior.- Conducted in-depth analysis of a large-scale customer dataset to identify potential risks and patterns.- Prepared comprehensive reports, presentations, and visualizations to effectively communicate data-driven insights and recommendations to the management team.

  • Licenses & Certifications