Ahmet Cecen

Research Data Scientist

PhD

Green Card

  • Houston, TX
  • Will Relocate

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.


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

Work Experience

  • Advanced Research Data Scientist 09/2017 - Present
    ExxonMobil Technology and Engineering Company (EMTEC) Modeling and Informatics Department
    • Developed algorithms to map scientific domain knowledge onto microscopy images (2D-4D) in order to extract actionable and interpretable exploratory models that assist performance prediction and product/process development.
    • Took ownership in an attrition period and greatly cross-skilled to architect, deploy and maintain an enterprise grade cloud database, integration and scalable compute infrastructure on Azure - enabling modelers, devs and data scientists across the corporation.
    • Steamrolled onboarding of an enterprise wide data science platform. Ran user trials, hosted tutorials with integrations and inside use cases, negotiated license terms and pricing, deployed and maintained supporting cloud infrastructure and security configurations.
    • Led digital transformation projects involving peers, reporting teams of developers and globally dispersed diverse stakeholders. Interfaced business organizations with modeling and IT departments to drive timely and satisfactory completion of deliverables.
    • Developed and published internal documentation and training materials in order to facilitate seamless hand-off of foundational work, with a goal to ensure sustainable long term operation by commoditized support/ticket structures.

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

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