Аналитик-стажер

Описание

Naryshov Ernar
Email: naryshov7@icloud.com
Telegram: https://t.me/keosido Mobile: +7(702) 992-28-57
Github: https://github.com/Coobeliues Linkedin: Ernar Naryshov
Education •
Kazakh-British Technical University
Almaty, Kazakhstan
Bachelor of Technology - School of Information Technology and Engineering(SITE) August 2020 - July 2024
Skills Summary •
Languages : Python3, C++, PostgreSQL, CSS3, SCSS, HTML5, JavaScript
• Frameworks : React, Tensorflow, Keras, yolov3-5, Opencv2
• Tools : PyCharm, CLion, VS Code, DataGrip, Jupyter Lab
• Technologies : GIT, Postman, Cisco Packet Tracer, Wireshark
• Soft Skills : Communication, Flexibility, Loyalty
Coursework / Skills •
Web Development •Computer Vision
• Databases •IT Infrastructure and Computer Networks
• Deep Learning •Machine Learning
• Cyber Security Fundamentals •IT Audit
Experience •
Data Analyst Almaty, Kazakhstan
KazakhTelecom February 2023 - April 2023
Studied and interned at KazakhTelecom company in Data Analytics under TelecomDataFactory program. We got
acquainted with the basics of machine learning, such as Classification - Supervised Learning, clustering - Unsupervised
Learning, Preprocessing, also studied the basics of Excel and got acquainted with the tools, etc.
• Neural Network Engineer Almaty, Kazakhstan
Taharqa Technologies LTD June 2023 - July 2023
I had an industrial internship at Taharqa Technologies LTD as a trainee neural network engineer. The focus was on
building datasets for training neural networks for detection and recognition of military ob jects for an unmanned aerial
vehicle.
Projects •
Sudoku Solver is a pro ject which helps the user to solve unsolved Sudoku problems from a photo, from a
laptop camera or directly from a video stream. It segments the image of a Sudoku problem, then uses the cnn
model to solve the numbers and fills in the empty cells according to the algorithm. : Focused on problem-solving
assistance. Tech: Python, Tensorflow, Keras, Opencv2 and etc.
• The Convolutional Neural Network Face Recognition (CNN) pro ject is a computer vision system designed to
identify and authenticate faces in images or videos. In which the data is prepared (go through a process of
preprocessing, normalization, augmentation, etc.). Then a convolutional neural network architecture is
created consisting of several convolutional layers, pooling and full connectivity layers. The CNN is trained on
the trained data by feeding the images to the input followed by error calculation and updating the network
weights using an error back propagation algorithm. : Tech: Python, Numpy, Tensorflow, Keras and Opencv2.
• MovieWatch (Web Development). Student pro ject. Development of a movie viewing platform created during
a web development course. Responsible for the creation and development of a website with an elaborate
frontend and backend. Ensuring guests’ enjoyment and comfort when watching movies through the
MovieWatch platform. : Research oriented, open source for watching movies. Tech: Python, Angular.js, Django,
JavaScript, PostgreSQL, CSS3(SCSS) and HTML5.
Extra Skills ◦
IT Infrastructure and Computer Networks : Studying in the field of IT infrastructure and computer networks on a
simulator (programs) for configuring Cisco equipment, as well as learning the basics of security and computer networks -
Cisco Packet Tracer.
◦ Cyber Security Fundamentals : Studying in cybersecurity and cyberthreats. It all took place on a simulator (programs)
to configure Cisco equipment, as well as learning the basics of security and computer networks - Cisco Packet Tracer, OS
Kali Linux, Windows XP, Ubuntu and etc.
Volunteering Experience Teacher of Math, Physics and Informatics
Almaty, Kazakhstan
Tesla Education August 2022 - November 2022
Worked with school-age students from 8th to 11th grade, including preparation for the UNT.