Mehrdad Moradizadeh

Data Scientist

https://talent.gravityer.com/mehrdad-moradizadeh

Toronto, OntarioMember since June 29, 2026

Key Strengths

Demonstrated foundational understanding of neural networks and deep learning concepts through personal projects like 'inside-neural-networks' and 'neural-network'.
Experience with automatic differentiation, as shown in the 'automatic-differentiation' project, which is crucial for deep learning.
Practical application of BERT models and FAISS for semantic search and question answering, indicating familiarity with advanced NLP techniques.
Experience with building search engines using Elasticsearch and BERT, showcasing practical data science application.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a strong interest in machine learning, deep learning, and natural language processing, which aligns well with a Data Scientist role. The diversity of projects, from building frameworks from scratch to applying pre-trained models, suggests a proactive and curious learning approach. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

inside-neural-networks

November 26, 2023 – November 30, 2023

inside-neural-networks — GitHub repository

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automatic-differentiation

November 15, 2023 – November 22, 2023

AutoGrad: An intuitive automatic differentiation library, supporting scalar and matrix operations. Ideal for learning gradient computation basics.

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unsupervised_final_project

December 12, 2022 – December 12, 2022

unsupervised_final_project — GitHub repository

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reinforcement_assignment

December 11, 2022 – December 12, 2022

reinforcement_assignment — GitHub repository

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neural_networks_group_project

December 6, 2022 – December 14, 2022

Commp 255- Neural networks group project

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car-rental-system

August 5, 2022 – August 5, 2022

Car rental system database using PL/SQL.

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smart-search-engine

August 4, 2022 – August 4, 2022

Building a Search Engine with Elasticsearch and BERT

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semantic-textual-similarity

July 23, 2022 – July 23, 2022

Applied pre-trained BERT models and FAISS to semantic search and question answering.

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inverted-search-index

July 19, 2022 – July 19, 2022

Inverted index, an essential element of a search engine.

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neural-network

June 25, 2022 – December 4, 2023

A minimalistic deep learning framework developed from scratch for educational purposes.

View Project

Key Strengths

Demonstrated foundational understanding of neural networks and deep learning concepts through personal projects like 'inside-neural-networks' and 'neural-network'.
Experience with automatic differentiation, as shown in the 'automatic-differentiation' project, which is crucial for deep learning.
Practical application of BERT models and FAISS for semantic search and question answering, indicating familiarity with advanced NLP techniques.
Experience with building search engines using Elasticsearch and BERT, showcasing practical data science application.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Mehrdad Moradizadeh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit