Nare Manukyan

Nare Manukyan

Actuarial Data Scientist & AI Enthusiast

Computer Science & Applied Mathematics student

About Me

I’m a third-year Computer Science and Applied Mathematics student with a deep interest in artificial intelligence, data science, and actuarial analysis. I enjoy exploring complex datasets, statistical modeling, and predictive analytics to uncover insights, understand risks, and support smarter, evidence-based decision-making. Curious and analytical by nature, I am passionate about applying advanced mathematical concepts and cutting-edge technology to solve real-world problems, optimize processes, and create meaningful impact in both the tech and insurance industries. I thrive on learning new tools, tackling challenging problems, and turning data into actionable solutions that drive innovation.

Education

University of Toulouse III – Paul Sabatier

Bachelor’s, Faculty of Science & Engineering (2024 – 2027)

French University in Armenia

Bachelor’s in Computer Science & Applied Mathematics (2023 – 2027)

Yerevan State Humanitarian College

Diploma in Insurance (2020 – 2023)

Professional Experience

Actuarial Data Scientist – Liga Insurance (Sep 2025–Present)

Currently responsible for performing comprehensive actuarial data analysis, building and validating risk models, and developing predictive analytics to support strategic business decisions. Collaborate with cross-functional teams to interpret complex datasets and provide actionable insights that enhance decision-making, optimize risk management, and improve insurance product performance.

QA Engineer Intern – Liga Insurance (July 2025)

Conducted thorough quality assurance testing of insurance systems and applications, including API testing, functional validation, and reporting of defects. Worked closely with the development team to ensure that software releases met high standards of accuracy, reliability, and compliance. Gained hands-on experience in software testing processes and automation practices within an insurance technology environment.

Accounts Receivable Representative – Ingo Internship (2023)

Managed invoicing processes, reconciled accounts, and ensured timely payment collection, maintaining accurate financial records. Developed a strong understanding of general insurance operations, client account management, and financial workflows. Collaborated with finance and administrative teams to streamline processes and support operational efficiency.

Educational Internship – Liga Insurance (2022)

Assisted in multiple company projects, contributing to data collection, analysis, and reporting tasks. Gained foundational knowledge of insurance processes, actuarial concepts, and organizational workflows, providing a solid base for further professional development in the insurance and data science fields.

Academic Projects

IoT Air Monitoring System

Collaborating on an IoT-based hardware initiative (Tumo Labs – ClimateNet Project), designing and developing sensor-integrated systems to monitor environmental air quality.

View Project

AI-Powered Resume Recommender

Built a Streamlit web app leveraging OpenAI GPT-3.5 for personalized resume suggestions. Designed UI, integrated API, implemented fallback logic, and tested functionality.

View Project

Smart Traffic Management with AI

Studied AI applications in urban traffic prediction and signal optimization. Developed predictive algorithms and simulations, producing visualizations for analysis and reporting.

View Project

Skills

Software Testing
API Testing
General Insurance
Data Analysis
Python
C
C#
Data Visualization
Predictive Analytics
Data Structures & Algorithms
Logical Data Modeling
Statistical Analysis

Languages

Armenian

Native

Russian

Native

English

Upper Intermediate

French

Intermediate

Achievements

LIGA Scholarship (2024–2025)

Awarded by LIGA Insurance for academic excellence, strong professional potential, and outstanding performance in insurance and IT-related fields.