Open to remote Data & AI opportunities

Hello, I’m

Elene V
Hovsepyan

Data Scientist, AI Engineer and analytical problem-solver.

I build data-driven systems, machine-learning solutions, analytical tools, and AI-powered automations that turn complex information into practical business value.

Explore my work → View my CV
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Portrait of Elene Hovsepyan
Current focus Data, AI & Automation
Based in Yerevan, Armenia
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01

About me

Curiosity turned into technology.

I am completing my bachelor’s degree in Data Science with a track in Business Analytics and a minor in Environmental Science at the American University of Armenia.

I enjoy understanding how things work and then building better ways to solve issues. From AI-powered automation and machine learning to data analysis and software development, I like creating tools that simplify complex processes and have a real impact.

I have professional experience building AI-powered research and outreach workflows, working with APIs, processing data, developing websites, and creating analytical tools. I also teach Python, which has strengthened both my technical foundations and my ability to explain difficult ideas clearly.

1+ Year of professional AI and software engineering experience
8+ Technical projects across AI, Data, BI and Databases
3 Professional directions: AI Engineering, Data Science and Analytics

02

Experience

Work that combines technology and impact.

Oct 2025 — Present

Full-Stack Junior AI Engineer

LinkyJuice

Professional

Design and develop full-stack AI-powered automation platforms that streamline web research, keyword discovery, SEO analysis, outreach workflows, and large-scale data processing. Build responsive web applications with React, integrate external APIs, optimize internal business processes, and develop analytical tools that improve efficiency and support data-driven decision-making.

Python React Apps Script REST APIs OpenAI API Automation Webflow
Jul 2025 — Feb 2026

Research Assistant

AUA Acopian Center for the Environment

Research

Supported environmental research by conducting GIS and spatial analyses, preparing and organizing datasets, coordinating field surveys, and contributing to the development of interactive geographic information systems for environmental decision-making.

ArcGIS QGIS Data Analysis Research Environmental Data
Jun 2026 — Present

Python Instructor

Artsakhy Center

Teaching

Teach introductory Python programming to students aged 13–20, helping them build strong foundations in programming logic, problem-solving, Boolean algebra, conditional statements, and computational thinking.

Python Teaching Mentoring Communication

03

Selected projects

Ideas transformed into working systems.

Automation

AI-assisted research workflow

Developed an AI-powered research automation platform that optimizes keyword generation, web research, source discovery, and outreach preparation. The system integrates AI models, search APIs, Selenium automation, and Google Sheets to reduce manual research time while producing structured, high-quality datasets for business workflows.

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Machine Learning

PM2.5 air-quality prediction

Built a machine learning pipeline to predict PM2.5 air pollution levels using over 23,000 environmental observations. Compared multiple regression algorithms, optimized model performance, and evaluated prediction accuracy to identify the most reliable approach for air-quality forecasting.

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Artificial Intelligence

Probabilistic and Bayesian agents

Designed and implemented an intelligent Battleship simulator featuring Bayesian probability search, heuristic algorithms, human-vs-AI gameplay, AI-vs-AI simulations, and large-scale batch experiments. The project also generates statistical reports to compare strategy performance and evaluate search efficiency across thousands of games.

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Business Intelligence

Dimensional data warehouse

Designed a fully normalized relational database for managing government records, including entity relationships, stored procedures, views, triggers, indexes, and integrity constraints. The system emphasizes efficient querying, data consistency, and maintainable database architecture following relational design principles.

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Database Design

Normalized records system

Developed an interactive movie analytics project using the TMDB dataset to explore trends in genres, ratings, popularity, and revenue. The project combines data cleaning, exploratory analysis, visualization, and filtering tools to transform raw movie data into meaningful insights for decision-making and discovery.

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Data Analytics

Movie exploration and analytics

Cleaned and explored a large movie dataset and created interactive tools for movie lookup, filtering, and discovery.

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04

Skills

Skills that organize themselves into the way I work.

As you move through this section, individual tools settle into their professional families. Select any skill to see where I learned it and how I use it.

Let’s work together

Have a meaningful problem that data can solve?

I am currently interested in remote opportunities involving data analysis, machine learning, AI automation, business intelligence, environmental analytics, and technical problem-solving.

Start a conversation →
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