Professional Overview
I'm a final-year Data Science student at the American University of Armenia with a strong foundation in data analytics, statistical modeling, machine learning, and programming. My technical skills include Python, R, SQL, data preprocessing, exploratory data analysis, data visualization, and statistical analysis. I also have experience with analytical problem-solving, experimental design, and working with data-driven methodologies. Alongside my technical background, I have professional experience in digital marketing, social media management, content strategy, lead generation, and performance analysis. This has strengthened my ability to interpret business requirements, analyze performance metrics, and translate insights into actionable recommendations. I bring a combination of technical expertise, analytical thinking, business awareness, and strong communication skills. I'm focused on further developing my expertise in data engineering, scalable data systems, and AI-driven solutions while contributing to challenging, high-impact projects.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
