Umang Dighe

FAQ About Umang Dighe

• What is Umang Dighe's address?

  Umang Dighe is located at
  Atlanta, Georgia, United States

• What is Umang Dighe's job title?

  Umang Dighe is a
  Schedule a 30 min. meeting with me : www.calendly.com/umangdighe A highly motivated researcher who knows how to make sense of data and translate it into actionable insights. PROFESSIONAL SUMMARY • Ph.D. in Aerospace Engineering with strong problem-solving skills. • Strong simulation skills using Matlab, Simulink, and Python to study nonlinear dynamical systems. • Strong leadership and communication skills with experience in teaching a graduate-level class. • Successful track record of efficiently completing both short-term and long-term projects with high level of productivity. • Hardware Design • Mechanical Design • Computational Fluid Dynamics • Business Intelligence • Statistical Analysis • Finite Element Analysis • Machine Learning Algorithms TECHNICAL SKILLS • Design: SolidWorks, CATIA, NX, AutoCAD, Autodesk Inventor, CATIA, Fusion 360 • Simulation: ABAQUS, COMSOL, ANSYS Multiphysics, ANSYS Maxwell, Simulink • Project Management Tools: MS Project, TeamCenter, MS Excel, Smartsheet • Packages/ Frameworks: Scikit-Learn, NumPy, Pandas, Matplotlib, Seaborn, Tableau, TensorFlow, • Language/Tools: Python, SQL, AWS SageMaker, MATLAB, C++ , SAP, Tableau CERTIFICATIONS • Certified SolidWorks Professional- Mechanical Design (CSWP): Certificate ID C-PZNWRGHTEL • Certified SolidWorks Simulation Professional- FEA Specialist: Certificate ID C-XUV5T85F8T • Amazon Web Services (AWS) Certified Machine Learning Specialty (Verification) • Certified IBM Data Science Professional: Certificate ID 2RH5CVFR2W9Z (Verification) Data Science/ Machine Learning: Languages/Visualization : Python, C++, Tableau, Seaborn, Matplotlib, ggplot2, plotly ML Libraries/ Tools : Tensor Flow, scikit-learn, Spark MLlib, Jupyter Notebook Machine Learning/ Data Mining : Regression, Logistic Regression, Decision Trees, Random Forests, Naive Bayes, Support Vector Machines(SVM), Neural Networks, Deep Learning, KNN, Clustering, Bagging, Boosting Plato Production Systems

• What industry does Umang Dighe currently work in?

  Umang Dighe currently works in the
  Plato Production Systems

• What is Umang Dighe's area of expertise?

  Umang Dighe specializes in
  Schedule a 30 min. meeting with me : www.calendly.com/umangdighe A highly motivated researcher who knows how to make sense of data and translate it into actionable insights. PROFESSIONAL SUMMARY • Ph.D. in Aerospace Engineering with strong problem-solving skills. • Strong simulation skills using Matlab, Simulink, and Python to study nonlinear dynamical systems. • Strong leadership and communication skills with experience in teaching a graduate-level class. • Successful track record of efficiently completing both short-term and long-term projects with high level of productivity. • Hardware Design • Mechanical Design • Computational Fluid Dynamics • Business Intelligence • Statistical Analysis • Finite Element Analysis • Machine Learning Algorithms TECHNICAL SKILLS • Design: SolidWorks, CATIA, NX, AutoCAD, Autodesk Inventor, CATIA, Fusion 360 • Simulation: ABAQUS, COMSOL, ANSYS Multiphysics, ANSYS Maxwell, Simulink • Project Management Tools: MS Project, TeamCenter, MS Excel, Smartsheet • Packages/ Frameworks: Scikit-Learn, NumPy, Pandas, Matplotlib, Seaborn, Tableau, TensorFlow, • Language/Tools: Python, SQL, AWS SageMaker, MATLAB, C++ , SAP, Tableau CERTIFICATIONS • Certified SolidWorks Professional- Mechanical Design (CSWP): Certificate ID C-PZNWRGHTEL • Certified SolidWorks Simulation Professional- FEA Specialist: Certificate ID C-XUV5T85F8T • Amazon Web Services (AWS) Certified Machine Learning Specialty (Verification) • Certified IBM Data Science Professional: Certificate ID 2RH5CVFR2W9Z (Verification) Data Science/ Machine Learning: Languages/Visualization : Python, C++, Tableau, Seaborn, Matplotlib, ggplot2, plotly ML Libraries/ Tools : Tensor Flow, scikit-learn, Spark MLlib, Jupyter Notebook Machine Learning/ Data Mining : Regression, Logistic Regression, Decision Trees, Random Forests, Naive Bayes, Support Vector Machines(SVM), Neural Networks, Deep Learning, KNN, Clustering, Bagging, Boosting

• Which languages does Umang Dighe speak? 

  Umang Dighe speaks the following languages:
  No languages available.

• Which industries has Umang Dighe previously worked in?   

  Umang Dighe has prior experience in the following industries:
  The University Of Texas At Arlington , The University Of Texas At Arlington , Lewco , Oil And Natural Gas

• What is Umang Dighe’s work experience?  

  Umang Dighe has the following professional experience:
  Plato Production Systems , Rudraksche Scientific , The University Of Texas At Arlington , The University Of Texas At Arlington , Lewco , Oil And Natural Gas .

• How can I find Umang Dighe on LinkedIn?  

  You can view Umang Dighe’s
  LinkedIn profile at LinkedIn URL.

• What are Umang Dighe’s work email addresses?  

  Umang Dighe’s work email addresses are
  [email protected] .

• What company does Umang Dighe work for?  

  Umang Dighe works at
  Plato Production Systems