Ph.D.
Summary
Dedicated Applied Statistician and self-motivated Ph.D. in Mathematics with more than 7 years of innovative research experience with demonstrated success in solving complex problems and more than 4 years of well-developed working experience in industrial segments. Certified in Applied Management Principles (AMP) with proven leadership-oriented abilities and 3 years of extensive experience in team building & management, decision-making, and public speaking & presentations. Aera of Expertise include:
Statistical:
Data assessment for quality measures such as completeness, accuracy, and applicability
Data Management using SQL
Quantification Statistical Data Analysis using SAS & R Statistical Visualization using R & Tableau
Statistical Machine Learning & Bias-Variance tradeoff Asymptotic & Cross-Validation optimization techniques
Cluster Sampling Parametric and Non-parametric Kernel Density Estimations methods
Foliage classification of LiDAR point cloud data Dynamic Principal Components Analysis (PCA)
Mathematical
Dynamic Computed Tomography Radon, X- & Light-Ray transforms, Partial Differential Equations
Biharmonic/Schrödinger equations Reconstruction of potential/magnetic fields utilizing scattering amplitudes
Wave propagation Landweber Iterative Image Reconstruction technique
Fourier Spectral Analysis and FFT-based Signal Analysis
Smart Structures & Non-Linear Vibration
Thermal stress management of engineered multilayered structures Sensitivity Analysis
Time-frequency Analysis of the dynamical behavior of Real-Time Hybrid Structures.
Nonlinear Normal Modal in vibrating systems and formulation of the solution of equations of motion
Cyber-physical smart structures and identification of the stability switch moment, MatLab Simulations
Expectations
Looking for Data Science positions
Work in United States
Employment Preferences
Academic Degree
Experience
Total Professional Experience
Skills
- Python
- R
- SAS
- SQL
- Data Assessment For Quality Measures Such As Completeness
- Accuracy
- Applicability Data Management Using SQL
- Tableau
- Quantification
- Visualization
- Statistical Data Analysis
- Statistical Machine Learning
- Bias-Variance Tradeoff
- Asymptotic
- Cross-Validation Optimization Techniques
- Parametric
- Non-parametric Kernel Density Estimations Methods
- Classification
- LiDAR Point Cloud Data
- Dynamic Principal Components Analysis
- PCA