INNA

KIVACHUK

Phone: +1-347-***-****

Email: ad3xkd@r.postjobfree.com

GiHub: https://github.com/InnaK342

LinkedIn: https://www.linkedin.com/in/inna-kivachuk-b0a434251/ I am an ambitious junior developer in the field of Data Science and Machine Learning. My expertise lies in proficiently working with data, including its processing and analysis, as well as crafting machine learning models.I have practical experience in using models in machine learning, as well as creating my own from scratch. Additionally, I have skills in model deployment, both manually and within applications. My enthusiasm for learning drives my commitment to continuous professional growth.

EXPERIENCE

DATA SCIENCE INTERN

Prodigy InfoTech

February 2024 - March 2024

• Analyzed sentiment patterns in social media data to understand public opinion and attitudes towards specific topics or brands.

• Investigated traffic accident data to identify patterns related to road conditions, weather, and time of day, focusing on visualizing accident hotspots and contributing factors.

• Utilized various data science techniques including data cleaning, machine learning algorithms, and data visualization methods to analyze datasets effectively. FREELANCE PROGRAMMER

Self Employed

September 2022 - January 2024

• Designed, developed, and evaluated an emotion recognition system focusing on facial analysis using Convolutional Neural Networks (CNN) and Django for seamless integration.

• Implemented a custom deep neural network for universal machine learning classification, including forward and backward propagation techniques for parameter optimization.

• Conducted educational data exploration, feature enhancement, and model evaluation for predicting course completion, presenting actionable strategies for improvement. MENTOR ON PYTHON AND WEB COURSES

IT future online school

December 2022 - August 2023

• Conducted instructional sessions, focusing on Python, WEB development, and machine learning courses.

• Guided students in projects and provided assistance with course-related inquiries.

• Enhanced social and technical skills through engaging with students and creating an effective learning environment.

• Effectively conveyed complex concepts and facilitated a proficient learning atmosphere.

• Aligned with the trajectory of IT education, contributing to the cultivation of a skilled student community. EDUCATION

BACHELOR'S DEGREE IN COMPUTER SCIENCE, SPECIALIZATION IN ARTIFICIAL INTELLIGENCE Taras Shevchenko National University of Kyiv, Kyiv September 2019 - June 2023

• Utilize methods of computational intelligence, machine learning, neural network, and fuzzy data processing, as well as genetic and evolutionary programming to address issues of recognition, forecasting, classification, and identification of control objects, among others.

• Apply knowledge of representation models in modern information systems, process audio, video, and text information and numerical data, including using neural network technologies.

• Analyze, design, and develop natural language information processing systems as the basis for the implementation of intelligent information processing systems, intelligent robotic systems.

• Participation in the 1st round of the All-Ukrainian competition for student research papers in the specialty 93 Computer Science in 2022/2023.

• Topics of course projects and diploma theses are related to the field of artificial intelligence.

• Average score: 96.3 / 100.

TECHNOLOGY STACK

• Python

• Pandas

• NumPy

• Matplotlib, Seaborn

• SQL

• scikit-learn

• TensorFlow, PyTorch, Keras

• Django, HTML, CSS, js

SKILLS

• Designing and planning architectures for software systems and applications.

• Designing and developing neural networks for different tasks, including image analysis and natural language processing.

• Applying machine learning algorithms and data processing methods to analyze and uncover patterns in data.

• Designing and developing web applications, ensuring their efficiency and user-friendliness.

• Developing and optimizing databases to efficiently store and process information.

• Analyzing data and presenting it in understandable graphical elements. LANGUAGES

• Ukrainian - Native

• Russian - Fluent

• English - B2

ADDITIONAL EDUCATION

• Neural Networks and Deep Learning

• Python Project: pillow, tesseract, and opencv

• Introduction to Data Science in Python

• Data Analysis with Python

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