Sertaç Oruç

Rotterdam, the Netherlands · serta-remove-c@sertacoruc.com

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Independent contractor, data engineer & architect with an academic background.

Empowering companies by building cloud-based software solutions for data intensive processes such as Digital Marketing, Analytics and Data Science workflows.

Experience

Owner

Granularity Data Solutions

This is my sole proprietorship company through which I am freelancing.

  • KvK: 68754582

May 2017 - Present

Owner / Co-founder

Flower Audio

Developer of two Rack Extensions for Propellerhead Reason Digital Audio Workstation

June 2012 - Present

Senior Data Engineer (Interim)

LeasePlan Digital, Amsterdam, the Netherlands

  • End to end migration of data layer of a data science project including system design, implementation and stakeholder management workloads.
  • Creating a state of the art solution for an international intracompany project based on Airflow DAGs, Gitlab CI/CD, AWS, Tableau.
  • Brainstorming, designing, architecting a company wide data platform based on AWS and OSS tools.
  • Contributing to biweekly sprints within a SCRUM team.

June 2019 - Present

Lead Data Engineer & Developer (Interim)

Merkle Netherlands, Rotterdam, the Netherlands

  • Developing a marketing data platform for Elsevier on AWS using services such as EMR, Lambda, RDS, ElasticBeanstalk, SNS, S3, CloudWatch, SecretesManager as well as third party tools such as Terraform, NoOra, Puppet, Jenkins.
  • Creating a state of the art solution for an international intra-company project based on Airflow DAGs, Gitlab CI/CD, AWS, Tableau.
  • Technically leading a team of 7 developers and data engineers.
  • Contact point for development related matters for customers and stakeholders.

July 2018 - May 2019

Data Engineer & Scientist (Interim)

ANWB B.V., the Hague, the Netherlands

  • Developing a marketing data platform on AWS using services such as EMR, Glue, Lambda, Step Functions, Redshift, ECS, DynamoDB, S3, CloudWatch, CloudFormation.
  • Developing ETL jobs in PySpark on AWS EMR.
  • Performance tuning Redshift datawarehouse.
  • Developing data orchestration with Lambda, Step Functions, ECS.
  • Assisting data analysts with setting up a process to work with KNIME analytics platform.

February 2018 - July 2018

Data Scientist (Interim)

LeasePlan Digital, Amsterdam, the Netherlands

  • Formulating and implementing end to end data products by colloborating with international corporate stakeholders.
  • Initiating and setting up data analytics platform based on AWS (Redshift, S3, Kinesis Firehose, SES, EC2), Tableau, Python (pandas), Zeppelin, Jupyter, Google Data Studio, Google Sheets.
  • Spearheading data access initiatives within corporate environment.
  • Data scrapping and leveraging API’s to extract, transform, load (ETL) business sensitive data.
  • Leading implementation of web tracking (Google Analytics and Google Tag Manager) and leveraging Google BigQuery for advanced analytics.
  • Dashboarding and visualization with Google Data Studio and Tableau.

May 2017 - December 2017

Senior Data Scientist

Luminis, Amsterdam, the Netherlands

March 2017 - April 2017

Game Analyst

SYBO Games, Copenhagen, Denmark

  • Translating business problems into data problems.
  • Formulating hypotheses and querying user telemetry data to test these hypothesis.
  • Product analytics for Subway Surfers (Most downloaded mobile game (iOS, Android combined) in 2014 and 2015).
  • Behavioural analysis of c.a. 30 million Daily Active Users by using in-house analytics system (SQL + Amazon Redshift + Tableau).
  • Data modeling and schema design for in-house analytics system of Subway Surfers, based on event-sourcing.
  • Defining product and feature KPIs and dashboarding them using Tableau (Tableau Desktop 10 Qualified Associate Certification).
  • Formulating and testing hypotheses with A/B testing.
  • Building data pipelines using Python scripting and REST API from third party applications (e.g., Flurry reporting API).
  • Predictive analysis using Python’s Scikit-learn library (Churn analysis, cheater detection).
  • Game proximity map using Multi Dimensional Scaling (MDS) algorithm.

August 2015 - March 2017

Postdoctoral Research Fellow

Delft University of Technology, Delft, the Netherlands

  • Research on the impact assessment of Big Data trends in Europe for FP7 BYTE project.
  • Research on technological progress of power storage and battery technologies using t-SNE dimensionality reduction algorithm and expectation-maximization algorithm.
  • Data science competitions (e.g. Kaggle.com) using various ML algorithms, e.g., random forest, neural networks, support vector machines.
  • Assisting in a Massive Open Online Course on text data mining featured on EdX.
  • Lecturing in EPA4123 Multi-Actor Systems Design from an Engineering Perspective (Operations Research) and EPA1321 & SPM2931 Continuous Modeling (System Dynamics) of EPA & SPM MSc. Curriculum.
  • Supervising in EPA1321 & SPM2931 Continuous Modeling (System Dynamics) of EPA & SPM MSc. Curriculum.
  • Supervising M.Sc. students with graduation projects.
  • Reviewer and board membership in various scientific journals and conferences.

April 2014 - August 2015

PhD Researcher

Delft University of Technology, Delft, the Netherlands

  • Research on strategic behavior in liberalized electricity markets employing game theoretical formal modeling.
  • Electricity market modeling by using game theory and simulation. Three cases: Financial Transmission Rights, Transmission Congestion Management, Innovation in restructured electricity markets.
  • Lecturing in EPA2142 Policy and Decision Models (Game Theory) in EPA MSc. Curriculum.
  • Supervising in EPA1321 & SPM2931 Continuous Modeling (System Dynamics) of EPA & SPM MSc. Curriculum.
  • Coordinating biweekly Policy Analysis lunch lectures.
  • Organizing extra curricular yearly department event.

January 2010 - April 2014

Research Scientist

Philips Research Laboratories, Eindhoven, the Netherlands

  • Conducting research on smart meters (Disaggregation / Non-Intrusive Load Monitoring) using signal processing – MATLAB programming.
  • Conducting emerging market landscaping analysis on smart meters.
  • Collaborating for the generation of intellectual property – inventor in a patent.
  • Writing research proposals for new innovation projects.

November 2008 - December 2019

Education

January 2010 - November 2014

Eindhoven University of Technology (TU/e)

Master of Science
Electrical Engineering (Systems and Control)

Optimal Scalable Decentralized Kalman Filter

September 2006 - October 2008

Middle East Technical University (METU)

Bacheloer of Science
Electrical and Electronics Engineering (Control Engineering)

GPA: 3.77/4.00

September 2002 - June 2006