Seyed Saeid Masoumzadeh

Data Scientist

https://talent.gravityer.com/seyed-saeid-masoumzadeh

MS.c in Artificial Intelligence, PhD in Computer Science. Skilled in Machine Learning, Deep Learning, Reinforcement Learning, NLP and Big Data Analytics

London, England, United Kingdom

Key Strengths

Demonstrated proficiency in Python for various machine learning and AI applications.
Experience with deep learning frameworks like TensorFlow for NLP tasks (LSTM for next word prediction, text classification).
Familiarity with classical ML techniques (Doc2Vec, SVM for text classification).
Exposure to reinforcement learning (Fuzzy Q-Learning) and unsupervised learning (AutoEncoders).
Practical experience with containerization technologies (Dockerfile, Makefile) in AI projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are exclusively personal and heavily focused on machine learning and AI, which aligns well with a Data Scientist role. However, the lack of team projects, diverse industry exposure, or non-technical contributions limits the assessment of broader cultural fit. The projects demonstrate a strong individual initiative in exploring various AI/ML concepts.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, indicating a focus on technical output.

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

chat_with_your_candidate

September 1, 2023 – October 7, 2023

Chat with your candidate

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Customer-Support-AI-Assistant

August 6, 2023 – August 6, 2023

AI Assistant for Customer Support

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Audio_Down_Sampling

November 4, 2022 – November 4, 2022

Audio Down Sampling

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ODSC

June 6, 2022 – June 16, 2022

fashion recommender systems workshop

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AutoEncoder

January 24, 2018 – February 7, 2018

AutoEncoder for image similarity

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Gossip-Based-Dynamic-VirtualMachine-Consolidation

October 28, 2017 – October 28, 2017

Gossip-Based-Dynamic-VirtualMachine-Consolidation

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Binary-Text-Classification-Doc2vec-SVM

October 26, 2017 – December 20, 2017

A Python implementation of a binary text classifier using Doc2Vec and SVM

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Binary-Text-Classification-LSTM

October 26, 2017 – December 12, 2017

An LSTM example using tensorflow for binary text classification

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Predict-next-word

October 7, 2017 – December 12, 2018

An LSTM example using tensorflow to predict the next word in a text

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Fuzzy-Q-Learning

October 1, 2017 – July 13, 2023

A Python implementation of Fuzzy Q-Learning (FQL) for any controllers with continues states

View Project

Key Strengths

Demonstrated proficiency in Python for various machine learning and AI applications.
Experience with deep learning frameworks like TensorFlow for NLP tasks (LSTM for next word prediction, text classification).
Familiarity with classical ML techniques (Doc2Vec, SVM for text classification).
Exposure to reinforcement learning (Fuzzy Q-Learning) and unsupervised learning (AutoEncoders).
Practical experience with containerization technologies (Dockerfile, Makefile) in AI projects.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, indicating a focus on technical output.

Seyed Saeid Masoumzadeh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit