Mo Koneshloo Delos

EXPERIENCE

Data Scientist, Unconventional Reservoir

WD Von Gonten Laboratories | Houston, Texas, USA | June 2018 – now

Research Associate, Geostatistical Reservoir Modeling

University of Wyoming | Laramie, Wyoming, USA | Oct. 2015–Sep. 2017

Researcher, Subsurface modeling of aquifer systems

University of Delaware | Newark, Delaware, USA | Oct 2013–Sep 2015

Assistant Professor & Lecturer

Shahrood University of Technology, Tarbiat Modares University and University of Tehran | Tehran, Tehran, Iran | May 2008–Sep 2013

Several Consultant and Research Positions

PhD in Mining Geostatistics | MINES ParisTech | Paris, Paris, France| 2003–2007

Centre de Géosciences, Ecole Nationale Supérieur des Mines de Paris (ParisTech)

Master of Engineering in Geostatistics | MINES ParisTech | Fontainebleau, Seine-et-Marne, France| 2005–2006

CFSG, Centre de Géostatistique, Ecole Nationale Supérieur des Mines de Paris (ParisTech)

M.Sc. in Mining and Mineral Engineering | University of Tehran | Tehran, Tehran, Iran | 1997–2000

Specialized in Mineral Exploration and Mineral Engineering

B.Sc. in Mining Engineering | University of Tehran | Tehran, Tehran, Iran | 1993–1997

Specialized in Mineral Exploration Engineering

Data Science: Machine learning algorithms, ML-toolkits:, Deep Learning, Pattern Recognition and clustering

Advanced Statistics/ Spatial Analysis

GIS: Projections, geocoding techniques, scripting using python

Programming and scripting: Proficient in Python, MATLAB/Octave and experienced in C++, VBA, familiar with R, Fortran

Database: EDW (Snowflake) using SQL query and python scripts, Relational Database Management (MS Access, SQLite)

Data Visualization: Matplotlib, Seaborn, ParaView, Mayavi, VTK, mapping in ArcGIS, Familiar with d3, poltly, Data Studio

Natural Resources: formation, data acquisition, interpretation, characterization, modeling