Key accomplishments

  • Machine Learning:
    • Developed and deployed a predictive maintenance model for a manufacturing client, reducing unplanned downtime by 25% and saving the company $1.5 million annually.
    • Led a team in building a recommendation system that increased cross-selling revenue by 20% for an e-commerce platform, leveraging collaborative filtering techniques and real-time user behavior analysis.
    • Implemented a natural language processing (NLP) algorithm to analyze customer feedback data, resulting in a 15% improvement in sentiment analysis accuracy and enabling actionable insights for product enhancements.
    • Optimized a deep learning model architecture for image recognition tasks, achieving a 95% accuracy rate on a benchmark dataset and outperforming previous state-of-the-art models by 10%.
  • Data Science:
    • Designed and implemented a data pipeline for processing and analyzing streaming data from IoT sensors, enabling real-time monitoring and proactive maintenance for critical infrastructure.
    • Conducted a comprehensive analysis of customer churn factors for a subscription-based service, identifying key predictors and implementing targeted retention strategies that reduced churn rate by 30%.
    • Developed a customer segmentation model using clustering techniques, resulting in personalized marketing campaigns that increased conversion rates by 20% and improved customer lifetime value.
    • Automated data cleaning and preprocessing tasks using Python scripts and Pandas libraries, reducing data preparation time by 50% and improving data quality for downstream analytics and modeling.
  • AWS (Amazon Web Services):
    • Orchestrated the migration of on-premises infrastructure to AWS cloud, leveraging services like AWS Server Migration Service (SMS) and AWS Database Migration Service (DMS), resulting in cost savings of 40% and improved scalability.
    • Implemented a highly available and fault-tolerant architecture on AWS using services such as Amazon EC2 Auto Scaling, Elastic Load Balancing, and Amazon RDS Multi-AZ deployment, ensuring 99.99% uptime for critical applications.
    • Designed and deployed a serverless data processing pipeline using AWS Lambda, Amazon S3, and Amazon Athena, enabling on-demand analytics processing and reducing infrastructure costs by 60%.
    • Automated infrastructure provisioning and configuration management using AWS CloudFormation templates and AWS Systems Manager, streamlining deployment processes and reducing manual errors by 80%.
Role 1
Data scientist
Role 2
Machine learning engineer
B2b software and services > engineering product and design
full-time 40-hours-per-weekcontract
Any
Senior
Canada
Any
NA
Hybrid
Willing to work for equity + rewardsWilling to work for paid projectsWilling to work for stock and paid projects

Tags

AITechInsurtechGovTech

Education

  • September 1 2020 - December 1 2022
    Memorial University of Newfoundland

    Master of Science in Computer Science

    I got my Master's degree in computer science from MUN with GPA of 4 out of 4 with a focused on machine learning, and data science.

  • January 1 2015 - January 1 2019
    Ferdowsi University of Mashhad

    Bachelor's Degree in Computer Engineering

    I got my Bachelor's degree in computer engineering from FUM, Iran with GPA 3.9

Experience

Expertise

Machine Learning
90
Data Science
90
AWS
90
Python
95
Database (MySQL - PostgreSQL)
85

Languages

English

Honors & awards

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