Summary
Overview
Work History
Education
Skills
Websites
Languages
Certification
Projects
Timeline
Generic

Sakina Aghayeva

Absheron, Saray

Summary

Highly motivated student with a desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at learning effectively, unsupervised, and quickly mastering new skills.

Overview

1
1
year of professional experience
1
1
Certification

Work History

Technical Support Team Member

Chain Reaction 2024
Baku
09.2024 - 09.2024

Coordinator

EduArt - DigiEduHack
Baku
10.2023 - 10.2023
  • Organized team events to promote a positive work environment.
  • Participated in subordinates' tasks to facilitate productivity or help overcome difficulties.
  • Coordinated with other departments to ensure projects were completed on time and within budget.

Education

Bachelor of Science - Information Technologies

BMU - INHA Dual Diploma Program
Xirdalan
05-2026

Data Analytics, Data Scientist

DIV Academy
BAKU
10-2024

Skills

  • PYTHON
  • SQL
  • C/C, KOTLIN
  • Microsoft Office Programs
  • Creativity and Innovation
  • Strong presentation skills
  • Dashboard creation
  • Analytical thinking
  • Data synthesizing

Languages

Azerbaijani
First Language
English
Upper Intermediate (B2)
B2
Russian
Beginner (A1)
A1
Korean
Intermediate (B1)
B1
Turkish
Advanced (C1)
C1

Certification

  • DIV Academy, Data Scientist, 2nd degree
  • HackerRank, Python (Basic)
  • HackerRank, SQL (Intermediate)
  • HackerRank, SQL (Basic)
  • EduArt - DigiEduHack Baku'23 , Coordinator

Projects

  • HR Analytic Dashboard

Explanation of Project: I worked with an HR dataset sourced from Kaggle, focusing on employee-related information. Using Python, I carried out data preprocessing, including cleaning and transforming the dataset to prepare it for analysis. Once the data was refined, I utilized Tableau to create meaningful visualizations that revealed important insights related to employee trends, performance, and retention.

  • London Bike Rides Dashboard

Explanation of Project: I utilized the London bike rides dataset obtained from Kaggle. After importing the data into Python, I performed thorough data cleaning and analysis to ensure accuracy and consistency. Following the preprocessing stage, I visualized the insights using Tableau to highlight key trends and patterns in the dataset.

Timeline

Technical Support Team Member

Chain Reaction 2024
09.2024 - 09.2024

Coordinator

EduArt - DigiEduHack
10.2023 - 10.2023

Bachelor of Science - Information Technologies

BMU - INHA Dual Diploma Program

Data Analytics, Data Scientist

DIV Academy
Sakina Aghayeva