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Ahmet Cecen

Research Data Scientist

  • Redacted
  • Houston, TX

Full stack Research Data Scientist with 10 years of experience architecting and deploying:
- custom tailored machine learning and image processing algorithms, customer facing apps.
- cloud data, network, security and compute infrastructure to deploy scalable products.

Work Experience

Skills

  • Data Science and Informatics
  • Computer Vision and Machine Learning
  • Enterprise Cloud Infrastructure
  • Relational and Specialized Databases
  • Solution Architect
  • Data Pipelining and Platforms

Stack

Scripting
  • Python
  • R
  • MATLAB
  • JS/CSS/SVG
  • Lua
Cloud
  • Azure
  • Bicep
  • Terraform
  • Shell
  • GH Actions
Databases
  • Microsoft SQL
  • MongoDB
  • HDF5/HSDS
  • Graph
  • Snowflake

Education

  • Georgia Institute of Technology

    Doctorate08/2013 - 08/2017

    Computational Science and Engineering

    Thesis: Calculation, Utilization, and Inference of Spatial Statistics in Practical Spatio-Temporal Data

    Research: Develop and implement prediction/decision support models using image/signal processing tools, statistical analysis and machine learning paradigms to solve challenges in materials science.

  • Drexel University

    Bachelors09/2009 - 08/2013

    Mechanical Engineering and Mechanics

    Graduation Project: Automated Electrochemical Flow Capacitor Performance Testing Station

Languages

  • English
  • French
  • Turkish
  • Japanese

Community Impact

Google Scholar Citations
Citations 1416
h-index 15
i10-index 15

Selected Publications

Material structure-property linkages using three-dimensional convolutional neural networks, Acta Materialia - 2018
Role of materials data science and informatics in accelerated materials innovation, MRS Bulletin - 2016
Versatile algorithms for the computation of 2-point spatial correlations in quantifying material structure, Integrating Materials and Manufacturing Innovation - 2016
Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters, Integrating Materials and Manufacturing Innovation - 2014

Public Projects

140 357

Collaborative blogging for the domain expert and the data scientist.

Javascript HTML/CSS MATLAB

Python XSLT Jekyll

Downloads: 10,000 (est.)

Polynomial regression with cross-validation on multidimensional data.

Simple pattern learning demo written in R using Shiny framework.

R HTML/CSS Shiny