Summary
Overview
Work History
Education
Skills
Projects
Hobbies
Languages
Timeline
Generic

ISMAIL CALISKAN

Istanbul,34

Summary

As a skilled Data Analyst with a solid foundation in management engineering, I aim to leverage my analytical expertise and engineering insights to drive data-driven decision-making and optimize business processes. I am committed to utilizing my proficiency in data analysis, statistical modeling, and problem-solving to contribute to innovative projects and support strategic goals within a dynamic organization.

Overview

6
6
years of professional experience

Work History

Component Planning - Data Analysis & BI

TURKISH TECHNIC
04.2020 - Current
  • Plan and manage the inventory of aircraft components to ensure optimal stock levels by using discrete distribution methods and minimizing both shortages and excesses
  • Use historical data and predictive models to forecast the demand for various components based on factors like aircraft fleet size, usage patterns, and maintenance schedules.
  • Develop and implement predictive maintenance models to anticipate component failures and schedule maintenance before issues arise. Use advanced analytics and machine learning techniques to predict when components are likely to need replacement or repair.
  • Prepare detailed reports and dashboards that provide insights into component performance, inventory levels, and supply chain efficiency.
  • Implement continuous improvement initiatives based on data analysis and industry best practices.

Social Insights - Data Analysis & Reporting

ADBA ANALYTICS
01.2019 - 02.2020
  • Use historical data to predict future trends or outcomes, such as consumer preferences, election results, or market movements.
  • Provide feedback on marketing or political campaigns based on real-time data, helping to adjust strategies for better results.
  • Analyze the sentiment (positive, negative, neutral) of posts, comments, and discussions to understand how people feel about a particular issue, brand, or product.
  • Go beyond sentiment to detect specific emotions like joy, anger, fear, etc., in social media conversations.

Education

Bachelor of Science - MANAGEMENT ENGINEERING

ISTANBUL TECHNICAL UNIVERSITY
ISTANUBL
06.2018

Skills

  • PL/SQL (DQL,DML,DDL)
  • Python (Pandas, Numpy, Keras, TensoFlow)
  • Qlik (Qlikview & QlikSense)
  • Knime (ETL Piplines)
  • MS Office ( Advance Excel-Word-PowerPoint)

Projects

TURNA - MRO INVENTORY MANAGEMENT PLATFORM


  • Develop and implement component remove & maintenance prediction models using LSTM and GRU deep learning methods on flight data.
  • Generate queries over databases in user-friendly interfaces for planners.
  • Determine optimal methods for the platform's workflow and undertake business analysis.
  • Planner evaluation metrics and KPI designs.

Hobbies

Ethnic Musics - Tennis & Football - History of Science

Languages

Turkish
Native language
English
Proficient
C2

Timeline

Component Planning - Data Analysis & BI

TURKISH TECHNIC
04.2020 - Current

Social Insights - Data Analysis & Reporting

ADBA ANALYTICS
01.2019 - 02.2020

Bachelor of Science - MANAGEMENT ENGINEERING

ISTANBUL TECHNICAL UNIVERSITY
ISMAIL CALISKAN