Mohammad Z.

Senior Data Scientist

Mohammad is a seasoned Data/ML Scientist with over six years of experience specializing in statistical analysis, digital marketing, natural language processing (NLP), computer vision, and optimization algorithms. He is proficient in Python, PostgreSQL, SQL, and AWS, enabling him to deliver robust data-driven solutions.

Throughout his career, Mohammad has worked in a variety of industries, including insurance, finance, marketing, web3/blockchain, and transportation. His diverse background underscores his ability to adapt and apply his expertise across different sectors.

In addition to his professional experience, Mohammad holds a Ph.D. focused on improving predictive models for road safety. He is passionate about leveraging data science to drive business growth and is dedicated to using his skills to create impactful solutions.

Main expertise
  • Pandas
    Pandas 6 years
  • Data Science 6 years
  • Machine Learning
    Machine Learning 6 years
Other skills
  • Agile
    Agile 3 years
  • AWS S3
    AWS S3 3 years
  • DynamoDB
    DynamoDB 3 years
Mohammad
Mohammad Z.

Canada

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Selected experience

Employment

  • Machine Learning Engineer

    Boosted AI - 5 months

    • Conduct research in the use of large language models for novel Finttech applications
    • Conduct research in Machine Learning and statistical modeling, with a focus on developing novel algorithms and methodologies for investment management
    • Design and implement experiments to evaluate the performance of Machine Learning models
    • Collaborate with other members of the research team to develop and refine algorithms and models Work closely with the engineering team to implement Machine Learning models in production
    • Stay up-to-date with the latest developments in Machine Learning research and apply them to our platform
    • Communicate research findings and methodologies to both technical and non-technical stakeholders

    Technologies:

    • Technologies:
    • Python Python
    • Pytest Pytest
    • API
  • Machine Learning Engineer

    PhotoGauge (Proxify) - 5 months

    • Finetuned LLM/LVM models for diagnosing photogrammetry issues (LLAVA, GPT-4, SAM).
    • Implemented end-to-end ML pipelines to automate the evaluation of 3D scan quality.

    Technologies:

    • Technologies:
    • Machine Learning Machine Learning
    • Python Python
    • NLP
    • Computer Vision
  • Data Scientist

    Aviva Canada - 1 year 4 months

    Aviva Canada Inc. is a Canadian property and casualty insurance company and a wholly owned subsidiary of the UK-based Aviva plc.

    • Supported the Marketing Science & Customer Lifetime Value (LTV) agile team in digital transformation initiatives.
    • Conducted analyses to improve lead quality through A/B testing.
    • Built Machine Learning models to predict and enhance conversion and retention ratios.
    • Optimized marketing campaigns and sales channels by developing attribution and lead-scoring models.
    • Enhanced annual digital marketing sales performance by $2 million using an innovative target ad simulation-optimization approach.
    • Developed marketing KPI monitoring tools to transform complex data sets into actionable insights, enabling data-driven critical business decisions and informing long-term user growth strategy.
    • Collaborated on prototyping a local LLM-based ChatBot using LangChain and LLAMA for fast and efficient augmented information retrieval and decision-making.

    Technologies:

    • Technologies:
    • Pandas Pandas
    • Data Science
    • Machine Learning Machine Learning
    • Python Python
    • PostgreSQL PostgreSQL
    • Git Git
    • XGBoost XGBoost
    • Agile Agile
    • PyTorch
    • TensorFlow TensorFlow
    • NLP
    • Scrum Scrum
    • Jira Jira
    • Unit Testing
    • Hadoop Hadoop
  • Data Scientist

    TES Group - 3 years

    TES has been acquired by TNS Group. TNS was established in 2017 and provides consulting services focused on transportation safety.

    • Developed an API service (HitSpot.webflow.io) to provide risk scores for locations with continuous data collection and processing deployed on AWS

    • Led phase 1 of the Transport Canada AI project, enhancing crash predictive models with cutting-edge machine learning techniques.

    • Designed customizable CGAN and YOLO models for safety anomaly detection

    Technologies:

    • Technologies:
    • Python Python
    • Flask Flask
    • REST API REST API
    • Agile Agile
    • AWS AWS
    • PyTorch
    • TensorFlow TensorFlow
    • Computer Vision
    • Scrum Scrum
    • Jira Jira
    • AWS S3 AWS S3
    • AWS Lambda AWS Lambda
    • DynamoDB DynamoDB
    • AWS Athena
    • AWS EC2 AWS EC2
    • SQL SQL

Education

  • Doctor Of PhilosophyData Analytics and Deep Generative Models

    University of Waterloo · 2019 - 2023

  • MSc.Agent-based Modeling and Genetic Algorithm

    University of Ferdowsi · 2016 - 2019

  • BSc.Engineering

    Sharif University of Technology · 2012 - 2016

Portfolio

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In a short 25-minute call, we would like to:

  • Understand your development needs
  • Explain our process to match you with qualified, vetted developers from our network
  • You are presented the right candidates 2 days in average after we talk

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