
Timeline
About me
Data Scientist | Python, SQL, and Machine Learning Enthusiast Driving Business Impact
Education

Mcmaster university
2021 - 2022Master of science - ms electrical and computer engineering
Isfahan university of technology
2014 - 2018Bachelor of applied science - basc signal processing
Experience

Isfahan university of technology
May 2016 - May 2017Research assistant- 5 wrist movement detection using machine learning models.

Peyke bartar
Jul 2018 - Jan 2019Junior 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 2020Hardware Design Engineer
Feb 2019 - May 2019

Mcmaster university
Jan 2021 - Dec 2022Research 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 - nowData 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
- View certificate

Relational databases essential training
LinkedinApr 2022
Languages
- pePersian
- enEnglish
- geGerman
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