Sardar Afra, Ph.D., Mba Email and Phone Number
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A business-minded data scientist with broad spectrum of domain expertise and proven track record of delivering valuable insights and action-oriented solutions to challenging business problems via machine learning and advanced data-driven techniques.Sardar is now a Manager of Data Science at American Family Insurance with more than ten years of experience in leading-edge Statistical Machine Learning, Big Data Queries and Interpretation, Predictive Modeling, Data-Driven Personalization, Deep Learning, Business Intelligence (BI), and Agile Management focusing on applications of Artificial Intelligence in Insurance, Retailing, Health Care, and Energy industries. Prior to joining American Family Insurance, Sardar was a senior data scientist at Sears Holdings and Lynntech inc., working on exciting retail and computer vision projects and government agencies as direct client. His PhD work determined the applications of machine learning and model order reduction in subsurface modeling (reservoir simulation) and data assimilation (history matching and uncertainty quantification).He developed and introduced a new parameterization technique for subsurface modeling employing Higher Order Singular Value Decomposition through tensor multilinear algebra. He also developed a deep understanding of various machine learning, pattern recognition, statistical, and data-driven methods including support vector machines (SVM), random forest and hierarchical clustering, Maximum Likelihood Estimation (MLE), Hierarchical Bayes (HB) Estimation, Hidden Markov Models (HMMs) and Markov Chain Monte Carlo (MCMC), Artificial Immune Systems, Gaussian Mixture Models. Sardar also has a firm set of skills in scientific programming especially in the following software: Statistical Inference (R, SparkR, Python), Object-Oriented Programming (OOP in Java and Python); Database (NoSQL, SQL); Big Data Analytics (Hadoop, Spark).
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Global Head Of Data Science And EngineeringSyngenta Nov 2023 - PresentBasel, Basel, ChCurrently serving as the Global Head of Data Science and Engineering at Syngenta in the USA, where I spearhead the strategic integration of data science and engineering into seeds R&D. My role involves leading a dynamic team in the development and deployment of advanced analytics, machine learning, and AI solutions to drive innovation in sustainable agricultural practices. By focusing on the power of data to unlock new insights, we aim to enhance crop resilience, improve yield predictions, and foster sustainable growth. Committed to pushing the boundaries of what's possible in agriculture, I am passionate about leveraging technology to solve complex challenges and contribute to a more sustainable future.
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Global Head Of Data ScienceSyngenta Jan 2023 - Feb 2024Basel, Basel, Ch
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Manager Of Data ScienceAmerican Family Insurance Nov 2017 - Jan 2023Madison, Wi, UsLead a team of data scientists, data engineers and strategists at Digital Transformation Office. We serve as the center of excellence for leveraging Artificial Intelligence and machine learning across the enterprise. My team is responsible for development and resolution of critical initiatives to support customer growth and provide critical decision support for various lines of business including P&C insurance products and Claims. -
Senior Data ScientistSears Holdings Corporation Oct 2016 - Nov 2017Chicago, Il, Us -
Data Scientist IiLynntech, Inc. Dec 2015 - Oct 2016College Station, Tx, Us□ Developed real-time machine learning algorithms for texture anomaly detection.□ Created user interface applications for commercial-o -the-shelf (COTS) mobile devices to interact real-time with the operator.□ Implemented machine vision and image processing techniques using Open Source Computer Vision (OpenCV), OpenGL ES, and Point Cloud Library (PCL).□ Experience on parallel processing and distributed modeling and environments such as Hadoop, Spark (PySpark).□ Developed great understanding of key concepts of deep learning and experiences in libraries such as Theano, TensorFlow.□ Built near production ready prototypes to test and improve anomaly detection algorithm and tablet-based application. -
Research Assistant (Ph.D.)Texas A&M University Jan 2011 - Dec 2015College Station, Tx, Us□ Introduced higher order singular value decomposition (HOSVD) re-parameterization for reservoir characterization.□ Developed history matching and production optimization using a reduced-order reservoir model.□ Built in-house 3D, three-phase large scale reservoir simulators utilizing finite element and finite difference methods.□ Performed reservoir model and production uncertainty assessment using Monte Carlo simulation in MATLAB.□ Implemented high performance computation methods for large scale reservoir simulator to solve reservoir inverse problem.□ Programmed in Multi-Thread environment (HPC/Parallel Computing) to develop a parallel reservoir simulator in MATLAB.□ Automated probabilistic EOR method screening based on Taber's criteria using MATLAB.□ Programmed numerical reservoir simulators using IMPES and fully implicit methods in MATLAB.□ Applied HOSVD to the in-house simulator to build reduced-order models for fast reservoir characterization.□ Performed stochastic reservoir parameter estimation by ensemble Kalman filter (EnKF).□ Built surrogate reservoir models using nonlinear model order reduction techniques.□ Modeled and calculated API rheological properties of an oil based drilling system using MudWare.□ Reviewed drilling hydraulics, pressure drop calculations, drilling fluids models and properties. -
Graduate Research Assistant (Ph.D. Candidate)Texas A&M University Jan 2011 - Aug 2012College Station, Tx, Us□ Performed and programmed pattern recognition/classi cation for gene expression and DNA sequencing in MATLAB.□ Adapted small-sample classi cation and error estimation methods for support vector machines (SVM) in R/Python.□ Developed algorithms in Python/Bash on dimension reduction and optimization for re nement of protein docking.□ Improved prediction assessment for classi cation of proteomic signals based on high dimensional small samples.□ Coded machine learning and Big Data Analytics in Python using Object Oriented Programming (OOP) techniques.□ Developed an error estimation method for SVM small sample classi cation problems as a MATLAB Toolbox.□ Developed deep understanding of the Maximum Likelihood Estimation (MLE), Hierarchical Bayes (HB) Estimation, Hidden Markov Models (HMMs) and Markov Chain Monte-Carlo (MCMC), Arti cial Immune Systems, Gaussian Mixture Models.□ Implemented SVM classi er using embedded feature selection for micro-array analysis for a series of 295 consecutive patients with primary breast carcinomas as having a gene-expression signature associated with either a poor prognosis or a good prognosis(in MATLAB).
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R&D Phd InternShell International E&P Inc., Drilling Mechanics Technology May 2014 - Aug 2014London, England, Gb□ Presented the project deliverables to supervisor, mentor and HR representative in four technical sessions.□ Conducted a detailed literature review on unconventional reservoir well testing and pressure transient analysis.□ Interpreted diagnostic fracture injection test (DFIT) data for different tight gas and shale reservoir data sets.□ Performed mini-frac analysis including synthesizing specialized plots specifically G-function related plots utilizing Saphir.□ Provided recommendation and detailed future plan for the project to clarify necessary steps for DFIT interpretation.□ Characterized real reservoir parameters through DFIT analysis and recommended a new efficient method to perform test.□ Directed sensitivity analysis to obtain type curves and diagnostic models for unconventional reservoirs data such as DFIT. -
Graduate Research Assistant (Ph.D. Candidate)Exxonmobil — Joint Project With Texas A&M University, Petroleum Engineering Dept. Sep 2012 - Jun 2014Us□ Presented the project deliverables to ExxonMobil representatives and project directors in six technical sessions.□ Cooperated with project PI to prepare fivee technical reports and published four papers in IEEE and ACC conferences.□ Developed and performed automatic history matching, optimal control and closed-loop reservoir management.□ Established a novel re-parameterization method to obtain geologically consistent reduced-order reservoir models.□ Performed reservoir model and production uncertainty assessment using Monte Carlo simulation. -
Intersect High-Resolution Reservoir SimulatorSchlumberger Next Training Certificate May 2014 - May 2014Houston, Texas, UsSchlumberger Information Solution (SIS), College Station, TXINTERSECT/Petrel Reservoir Engineering training workshop -
University LecturerShahrood University Of Technology Sep 2008 - Dec 2010Shahrood, Semnan, Ir -
Research And Analytics EngineerSkq Jun 2006 - Sep 2008
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Vice PresidentSahand University Of Technology Mar 2004 - 2006Tabriz, East Azerbaijan, IrServed 2 terms (24 months) as the Student Union Vice President. Committed to serving Sahand University of Technology by representing student opinion, addressing campus needs through targeted programming and the maintenance of tradition, and providing opportunities for leadership development in order to enrich the quality of student life.
Sardar Afra, Ph.D., Mba Skills
Sardar Afra, Ph.D., Mba Education Details
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The Wharton SchoolFinance And Business Analytics -
Texas A&M UniversityElectronics And Communications Engineering
Frequently Asked Questions about Sardar Afra, Ph.D., Mba
What company does Sardar Afra, Ph.D., Mba work for?
Sardar Afra, Ph.D., Mba works for Syngenta
What is Sardar Afra, Ph.D., Mba's role at the current company?
Sardar Afra, Ph.D., Mba's current role is Data Science & Engineering Leader | Wharton MBA.
What is Sardar Afra, Ph.D., Mba's email address?
Sardar Afra, Ph.D., Mba's email address is sa****@****fam.com
What is Sardar Afra, Ph.D., Mba's direct phone number?
Sardar Afra, Ph.D., Mba's direct phone number is (847) 286*****
What schools did Sardar Afra, Ph.D., Mba attend?
Sardar Afra, Ph.D., Mba attended The Wharton School, Texas A&m University.
What skills is Sardar Afra, Ph.D., Mba known for?
Sardar Afra, Ph.D., Mba has skills like Simulations, Matlab, Characterization, Numerical Analysis, Optimization, Machine Learning, Mathematical Modeling, R, Big Data, Finite Element Analysis, Latex, Reservoir Simulation.
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