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Hi, I’m Shant Gevorgyan, a motivated data science enthusiast currently pursuing studies at Yerevan State University and Armenian Code Academy. I’m passionate about turning data into insights and building practical ML solutions. I enjoy collaboration, learning from experienced professionals, and contributing to meaningful projects that impact real-world problems. During my studies and coursework, I’ve built hands-on experience with Python, NumPy, Pandas, and scikit-learn, and I’ve worked on projects including a linear regression model built from scratch. I’m eager to continue growing my skills, tackle challenging datasets, and apply rigorous data analysis to drive results in teams.…Hi, I’m Shant Gevorgyan, a motivated data science enthusiast currently pursuing studies at Yerevan State University and Armenian Code Academy. I’m passionate about turning data into insights and building practical ML solutions. I enjoy collaboration, learning from experienced professionals, and contributing to meaningful projects that impact real-world problems. During my studies and coursework, I’ve built hands-on experience with Python, NumPy, Pandas, and scikit-learn, and I’ve worked on projects including a linear regression model built from scratch. I’m eager to continue growing my skills, tackle challenging datasets, and apply rigorous data analysis to drive results in teams.

Shant Gevorgyan

Data Scientist, Data Analyst, Full Stack Developer, +2

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Hi, I’m Shant Gevorgyan, a motivated data science enthusiast currently pursuing studies at Yerevan State University and Armenian Code Academy. I’m passionate about turning data into insights and building practical ML solutions. I enjoy collaboration, learning from experienced professionals, and contributing to meaningful projects that impact real-world problems. During my studies and coursework, I’ve built hands-on experience with Python, NumPy, Pandas, and scikit-learn, and I’ve worked on projects including a linear regression model built from scratch. I’m eager to continue growing my skills, tackle challenging datasets, and apply rigorous data analysis to drive results in teams.…Hi, I’m Shant Gevorgyan, a motivated data science enthusiast currently pursuing studies at Yerevan State University and Armenian Code Academy. I’m passionate about turning data into insights and building practical ML solutions. I enjoy collaboration, learning from experienced professionals, and contributing to meaningful projects that impact real-world problems. During my studies and coursework, I’ve built hands-on experience with Python, NumPy, Pandas, and scikit-learn, and I’ve worked on projects including a linear regression model built from scratch. I’m eager to continue growing my skills, tackle challenging datasets, and apply rigorous data analysis to drive results in teams.

Available to hire

Hi, I’m Shant Gevorgyan, a motivated data science enthusiast currently pursuing studies at Yerevan State University and Armenian Code Academy. I’m passionate about turning data into insights and building practical ML solutions. I enjoy collaboration, learning from experienced professionals, and contributing to meaningful projects that impact real-world problems.

During my studies and coursework, I’ve built hands-on experience with Python, NumPy, Pandas, and scikit-learn, and I’ve worked on projects including a linear regression model built from scratch. I’m eager to continue growing my skills, tackle challenging datasets, and apply rigorous data analysis to drive results in teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Armenian

Fluent

English

Fluent

Russian

Intermediate

Work Experience

Data Analyst / Annotator Intern at Cognaize

November 1, 2023 - March 1, 2024

Assisted with labeling data, annotated financial tables and documents; gained hands-on experience with mathematical foundations, cost function minimization (MSE), and evaluating model performance on synthetic datasets.

Data Analyst / Annotator Intern

November 1, 2023 - March 1, 2024

Annotating financial tables and documents. Sourcing financial data from diverse reliable sources to ensure completeness and accuracy of datasets. Using a range of tools and platforms to gather and maintain up-to-date financial records.