Star Portfolio

About me

I am Satar : I'm a

My name is Satar Shamsi Goushki, a data scientist and web developer. My passion is machine learning. There is no limit in the world, creativity leads to development in the workplace. I am highly interested in algorithms and data structure. I am always looking for an optimum way. The world is ours, we have to improve it for the next generations.
I am a Classical Violinist and spend my free time playing masterpieces of great composers.

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TimeLine

BSC, Shahid Bahonar University of Kerman

Electrical Engineering, Electronic

Feburary 2007 --- September 2012

Graduated in the top 5 students.
Total GPA of 14.47 out of 20.

MSC, ITMO University, Saint Petersburg, Russia

Big Data and Extreme Computing

September 2018 --- August 2019

Almost excellent grades,
Total GPA of 3.91 out of 4.

MSC, ITMO University, Saint Petersburg, Russia

Machine Learning and Data Analysis

September 2019 --- May 2020

I transferred to machine learning and data analysis.
Total GPA of 3.79 out of 4.
Unfortunately, I did not complete my career in the last few days.

My Skills

My creative skills & experiences.

After studying at one of the top universities in data science, I found my passion in machine learning and algorithms. I have implemented complicated machine learning, neural networks, and HPC projects like Denoising Autoencoder and Sentiment Analysis.
Also, I create successful responsive websites by using React, HTML, CSS, and JS.
Visit my GitHub for more details or just contact me.

github
Visit Full-Stack projects

Machine Learning 90%

Python 90%

SQL 85%

C++ 90%

Full-Stack 80%

Titanic Survival Prediction

A machine learning project to predict the chance of surviving for the titanic passengers. After Data preparation and visualization. All machine learning models are implemented and compared.
ARIMA FORECAST

A time series project. Our data is the average salary in Russia. By using the ARIMA model, we have predicted Future people's income in Russia.
CNN and Transfer learning

Cat and dog classification using CNN. Then using VGG16 and MobileNet as transfer learning applications to improve the model's accuracy.
Sentiment Analysis

Prediction of reactions to informational messages in social networks(Twitter). Data preparation by NLP and machine learning models to predict user's reactions.
Neural Network on Mnist

Build neural networks without the help of the deep learning frameworks, and instead by using NumPy.

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