Parsa Ghazvinian

Data Scientist

https://talent.gravityer.com/parsa-ghazvinian

Ph.D. Candidate at Georgia State University

Georgia State University

Key Strengths

Extensive personal project experience in Machine Learning, Deep Learning, and Data Science, including CNN, RNN, Homomorphic Encryption, NLP, and Reinforcement Learning.
Demonstrated proficiency in Python and C++ for data science and machine learning implementations.
Experience with various ML frameworks and tools as evidenced by project technologies (e.g., TensorFlow, Jupyter Notebook).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards research-oriented and complex machine learning problems, which aligns well with an innovative and problem-solving culture. The diversity of projects, from intrusion detection to privacy-preserving ML and NLP, indicates a broad interest in the data science domain. However, the lack of team-based or industry projects makes it difficult to assess collaboration and real-world operational fit.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Subjective_Annotators

April 8, 2025 – Present

A comparative study of modeling techniques for subjective NLP tasks using annotator disagreement.

View Project

Multitask_vs_Embedding

February 19, 2025 – April 8, 2025

Multitask_vs_Embedding — GitHub repository

View Project

MOFHEI

December 16, 2022 – September 16, 2025

Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference

View Project

aluminum_shark_tf

September 2, 2022 – October 2, 2024

aluminum_shark_tf — GitHub repository

View Project

aluminum_shark

September 2, 2022 – October 2, 2024

Privacy-Preserving Machine Learning Based on Homomorphic Encryption with TensorFlow

View Project

IDS-Using-CNN-RNN

September 23, 2019 – September 23, 2019

Intrusion detection system using CNN and RNN

View Project

Collaborative-Ball-Balancing

July 23, 2019 – July 23, 2019

Collaborative ball balancing Using Reinforcement Learning method.

View Project

FilmInfoManager

July 23, 2019 – July 23, 2019

An Android app with a database of movies information.

View Project

Python-Essentials

July 21, 2019 – July 21, 2019

A complete and handy notebook with lots of examples for getting started with Python.

View Project

Persian-letter-OCR

July 21, 2019 – August 26, 2020

An OCR for Persian characters using Deep Neural Network

View Project

Key Strengths

Extensive personal project experience in Machine Learning, Deep Learning, and Data Science, including CNN, RNN, Homomorphic Encryption, NLP, and Reinforcement Learning.
Demonstrated proficiency in Python and C++ for data science and machine learning implementations.
Experience with various ML frameworks and tools as evidenced by project technologies (e.g., TensorFlow, Jupyter Notebook).

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.

Parsa Ghazvinian

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit