Kaya Kiyici
Entry Level Data Analyst
Knocklyon,Dublin
Summary
Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Ability to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.
Overview
2
2
Languages
6
6
Certifications
6
6
years of post-secondary education
4
4
years of professional experience
Work History
Data Analyst (Virtual Internship)
KPMG
Dublin
2021.07 - 2021.07
- Researched and resolved issues regarding integrity of data flow into databases.
- Coordinated statistical data analysis, design and information flow.
- Evaluated trends to understand competitive environments and assess current strategies.
Production Planner (Intern)
Name Gıda
Nevsehir
2019.06 - 2019.08
- In Production Planning – Name Gıda (2 months).
- Employed accurate forecasting to increase efficiency and reduce waste.
- Worked directly with production personnel to resolve production scheduling issues and conflicts.
- Customized SAP production planning and detailed scheduling tools to support factory production initiatives.
Intern
Dr.Oetker
Izmir
2017.06 - 2021.07
- Established and tracked quality department goals and objectives.
- Scheduled and chaired quality review meetings to review effectiveness of performance mitigating risk, improving throughput and achieving customer satisfaction.
Education
Master of Science - Business Analytics
Dublin Business School
Dublin 2020.01 - 2021.01
BBA - Business Administration
Izmir University of Economics
Izmir 2015.01 - 2020.01
Skills
Data quality assurance processes
undefinedCertification
Currently doing [Data Analytics] course by Google
Technical Skills
Python, SQL, Tableau, Excel,SAP
Projects
Research Project: Using Machine Learning to Understand, Predict, and Prevent Suicidal Behavior on Social Media (Python)
- The neural networks will be constructed to read text and infer psychological weights across a range of constructs including stress, loneliness, burdensomeness, hopelessness, depression, anxiety, and insomnia.
Detecting Fraudulent Claims for Insurance Company (Python)
- Multiple machine learning algorithms were built such as, Random Forest, AdaBoost, GradientBoost and SVM. SVM were chosen based on performance and accuracy score with 97%.
Timeline
Data Analyst (Virtual Internship)
KPMG
2021.07 - 2021.07
Currently doing [Data Analytics] course by Google
2021-07
Currently doing [Project Management] course by Google
2021-07
Certified [Digital Marketer], [Google] - [30 hours]
2021-03
Certified [Digital Marketer], [Bilge Adam] - [6 months]
2020-06
Master of Science - Business Analytics
Dublin Business School
2020.01 - 2021.01
Certified [SAP], [Izmir University of Economics] - [4 months]
2019-06
Certified [Web Design and Graphics], [Bilge Adam] - [6 months]
2019-06
Production Planner (Intern)
Name Gıda
2019.06 - 2019.08
Intern
Dr.Oetker
2017.06 - 2021.07
BBA - Business Administration
Izmir University of Economics
2015.01 - 2020.01
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