Overview
Work History
Education
Skills
Research Experience
Honors and Awards
Leadership Experience
Certification
Volunteering
Languages
Timeline
Generic
Nargiz Kaniyeva

Nargiz Kaniyeva

Almaty

Overview

2
2
years of professional experience
1
1
Certification

Work History

Experienced Associate in Data&Analytics Team

PricewaterhouseCoopers Tax & Advisory LLP
2022.09 - Current
  • Spearheaded a company-wide initiative to promote data literacy and foster a culture of evidence-based decision-making
  • Developed a Generative AI chatbot utilizing a knowledge base to enhance the Legal & Tax team's efficiency by providing accurate, automated responses to complex queries
  • Automated routine reporting tasks using Python scripts and SQL queries, saving time and resources while minimizing human error
  • Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities and reducing manual effort and increasing efficiency by 30%
  • Utilized data visualization tools (Tableau, Power BI) to effectively communicate business insights through visually captivating and interactive dashboards
  • Delivered comprehensive reports highlighting key trends, patterns, anomalies, presenting findings to senior management for informed decision-making purposes
  • Designed and developed automated financial documents (profit and expense reports) for the organization's product lines using Excel macros and VBA scripting
  • Created visually captivating and interactive dashboards using Tableau and Power BI to enhance data comprehension
  • Developed and maintained a centralized data warehouse using cloud platforms (Azure and GCP), ensuring scalable and secure data storage and access
  • Participated in the creation of commercial proposals for digital transformation for clients, collaborating with employees from different departments to deliver cohesive solutions
  • Trained team members on new tools and techniques, elevating overall departmental expertise in data analytics.
  • Pursued continuous learning with certifications in data engineering and staying abreast of the latest industry trends

Business Intelligence Intern

DAR Tech LLP
2022.03 - 2022.05
  • Conducted market analysis for DAR University, leading to a 25% increase in student enrollment by identifying key growth opportunities
  • Assisted in the development of business models and project plans, ensuring alignment with client objectives and market trends
  • Collaborated with cross-functional teams to gather, document, and analyze business requirements, contributing to the creation of effective project roadmaps
  • Utilized data analysis tools to extract, analyze, and interpret complex datasets, supporting data-driven decision-making processes
  • Prepared and presented comprehensive reports on market trends, project progress, and performance metrics to senior management and stakeholders
  • Assisted in the development of a comprehensive KPI dashboard, enhancing visibility into project performance
  • Updated and developed scripts and queries to extract and analyze data from multiple sources.

Education

Bachelor of Science - Information Systems

Kazakh-British Technical University
Almaty, ALA
07.2022

Skills

  • Python Programming
  • SQL Expertise
  • Data Mining Techniques
  • Web Scraping
  • Machine Learning
  • Data Mapping
  • Data Visualization and Presentations
  • Data Warehousing
  • Report Writing
  • Business Intelligence
  • Strong Work Ethic
  • Time Management

Research Experience

Research Assistant, School of Information Technology and Engineering, 06/2022 – 12/2022
Kazakh-British Technical University – Almaty, ALA

  • Project: Machine Learning Algorithms for the Development of Intrusion Detection Systems in 5G Mobile Networks
  • Participated in the design and implementation of machine learning algorithms for enhancing intrusion detection systems (IDS) in 5G networks.
  • Analyzed large datasets to identify patterns and anomalies indicative of potential security threats.
  • Co-authored a paper published in the journal Sensors titled "Research of Machine Learning Algorithms for the Development of Intrusion Detection Systems in 5G Mobile Networks and Beyond".

Honors and Awards

1st Place, Hackathon: Coding & Programming - Python and Big Data Basics
Samsung Innovation Campus – 08/2022

  • Achieved first place among 50+ participants by demonstrating advanced proficiency in Python and Big Data.
  • Conducted in-depth analysis of COVID-19 data, uncovering critical insights and presenting findings through compelling visualizations.
  • Recognized for innovative approach and practical application of data analytics to solve real-world problems.

High Quality Award, Changellenge Cup Kazakhstan
Changellenge – 2020

  • Distinguished with the High Quality Award for exceptional performance in a competitive event.
  • Executed a thorough market analysis and developed an innovative bank layout, leading to a highly persuasive final presentation.
  • Acknowledged for outstanding analytical abilities, creative problem-solving, and effective communication skills.

Leadership Experience

Administrator
DataAcademy.kz Community, [08/2023 – Present]

  • Spearheaded initiatives to democratize data science education by developing and promoting cost-effective courses and resources
  • Led the creation of affordable, high-quality courses that empowered individuals from diverse backgrounds to acquire valuable data science skills
  • Fostered a collaborative and inclusive environment, encouraging professionals to share insights and enhance collective learning

Member of the Unisat Nano-satellite Educational Programme for Girls (UNEPG)
Al-Farabi Kazakh National University, [10/2021 – Present]

  • Actively participated in the design, assembly, and testing of nano-satellites, gaining hands-on experience under expert mentorship
  • Worked closely with a diverse team, honing leadership and problem-solving skills while contributing to a real-world nano-satellite mission
  • Navigated technical challenges during satellite development, demonstrating adaptability and contributing innovative solutions to the project

Guest Speaker
Google I/O Extended, Almaty, 2023

  • Selected as a guest speaker to share expert insights on ETL processes in Google Cloud, addressing a broad audience of tech enthusiasts and professionals
  • Delivered a compelling presentation on effective Extract, Transform, Load (ETL) strategies, emphasizing their critical role in data integration and management

Certification

  • Microsoft Certified: Azure Enterprise Data Analyst – [01/2024 - 01/2025]
  • Associate Microsoft Certified: Azure Data Engineer – [08/2023 - 08/2024]
  • Associate Microsoft Certified: Azure Data Fundamentals – [06/2023 - Present]
  • Google Cloud Certified Professional Data Engineer Data Science – [05/2023 - 05/2025]
  • Summer School, Hertie School Data Science Lab – 08/2022

Volunteering

Volunteer / Mentor

UNICEF Kazakhstan, 2021 – Present

  • Participated in educational volunteer projects for "Disaster risk reduction", "Plastic Free", and "Children's Road Safety"
  • Coordinated communication between schools and UNICEF to organize meetings at the "BeGreen Kazakhstan" project

Admission Committee Volunteer

Kazakh-British Technical University, 06/2020 – 08/2021

  • Contributed as a volunteer on the university's admission committee during the summer break, participating in evaluating and selecting prospective students
  • Demonstrated commitment to the institution and gained insights into candidate assessment and selection processes

Languages

Kazakh - Native

Russian - Advanced

English - Advanced (IELTS: 7.0)

German - Beginner (Goethe-Zertifikat A1)

Timeline

Experienced Associate in Data&Analytics Team

PricewaterhouseCoopers Tax & Advisory LLP
2022.09 - Current

Business Intelligence Intern

DAR Tech LLP
2022.03 - 2022.05

Bachelor of Science - Information Systems

Kazakh-British Technical University
  • Microsoft Certified: Azure Enterprise Data Analyst – [01/2024 - 01/2025]
  • Associate Microsoft Certified: Azure Data Engineer – [08/2023 - 08/2024]
  • Associate Microsoft Certified: Azure Data Fundamentals – [06/2023 - Present]
  • Google Cloud Certified Professional Data Engineer Data Science – [05/2023 - 05/2025]
  • Summer School, Hertie School Data Science Lab – 08/2022
Nargiz Kaniyeva