Technical skill is the mastery of complexity, while creativity is the mastery of simplicity.
— Christopher Zeeman
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SKILLS
SKILLS
Architected Structures
Porous Structures
Lattice Structures (including TPMS types such as Primitive, Gyroid, and Diamond)
Mechanical Testing
Mechanical Testing
Compression Testing
Tensile Testing
Bending Testing
Fatigue Testing
(Conducted using Instron, MTS, and Controls universal testing machines)
Experimental Research
Experimental Research
3D Printing of polymer, ceramic, and metal samples
Thermal Testing
Mechanical Testing
Heat Treatment
Data Analysis
Research Paper Publications
Laser Powder Bed Fusion
3D Printing
Metal Printing
Polymer Printing
Shape Memory Alloys: Cu-Al-Mn, Cu-Al-Ni, NiTi
Fabrication Methods: Vacuum Induction Melting, Sand Casting, Additive Manufacturing
Materials Characterization
Materials Characterization
Metallography
Optical Microscopy
Optical Emission Spectroscopy (OES)
Scanning Electron Microscopy (SEM)
X-ray Diffraction (XRD)
Differential Scanning Calorimetry (DSC)
Tensile Testing
Compression Testing
Fatigue Testing
FreeCAD
FreeCAD
Computer-Aided Design (CAD)
Computer-Aided Manufacturing (CAM)
Computer-Aided Engineering (CAE)
Python/MATLAB
Python/MATLAB
Data Analysis using Programming Languages
Data Visualization using Programming Languages
Languages: Python, SQL, Shell Scripting
Data Analysis: Pandas, NumPy, SciPy, BeautifulSoup
Visualization: Matplotlib, Seaborn, Plotly, Dash, Folium
Machine Learning & Tools: Scikit-learn, Jupyter, Anaconda
Software Development: Git, GitHub, VS Code, Spyder, LaTeX
OS: Linux
Supervised Learning
Neural Networks & AI
Advanced Algorithms
Unsupervised & Reinforcement Learning
CERTIFICATIONS
CERTIFICATIONS
MATHWORKS
MATHWORKS
Image Processing: Segmentation, filtering, edge detection, noise reduction, contrast enhancement
Object Detection & Video Processing
Spatial and Quantitative Image Analysis
Batch Image Processing and Workflow Automation
MATLAB Programming for custom algorithm development
STANFORD UNIVERSITY
STANFORD UNIVERSITY
Supervised Learning: Linear/Logistic Regression, Neural Networks, Decision Trees
Unsupervised Learning: Clustering, Dimensionality Reduction, Anomaly Detection
Recommender Systems & Reinforcement Learning
Full ML Pipeline: Evaluation, Tuning, Data-Centric Improvement, Deployment
Python ML Stack: NumPy, scikit-learn, TensorFlow
MATHWORKS
MATHWORKS
Data Preprocessing, Cleaning & Visualization
Statistical Analysis, Modeling & Predictive Modeling
Machine Learning Fundamentals & Basic Model Building
Exploratory Data Analysis (EDA) & Insight Extraction
Applied Data Science & Real-World Analysis
MATLAB Programming
MATHWORKS
MATHWORKS
Advanced MATLAB Data Analysis & Visualization
Interactive App Design, Development & Deployment
Workflow Automation & Optimization
AI Integration: MATLAB Copilot & Generative AI for Data Science
Productivity-Focused Solution Engineering
ARIZONA STATE UNIVERSITY
ARIZONA STATE UNIVERSITY
Technical Foundation: Mastery of additive manufacturing principles and Design for Additive Manufacturing (DfAM) methodologies.
Process Execution: Skilled in the complete workflow from build preparation and machine setup to advanced post-processing.
Engineering Optimization: Proficient in critical tasks like part orientation, support structure design, and process parameter optimization to control mechanical properties and enhance surface quality.
IBM
IBM
Data Science Methodology & Tools
Python Programming & SQL
Data Visualization & Analysis
Machine Learning Model Development
Cloud Labs, Hands-On Projects, & Capstone Application
IBM
IBM
Python Programming: Scripting and development for data-centric applications.
Data Analysis & Visualization: Conducting analysis and creating visualizations with Python.
Machine Learning: Applying Python to solve machine learning problems.
Project Execution: Implementing skills in a comprehensive capstone project.
IBM
IBM
Tools: Jupyter, R Studio, SQL
Languages & Analysis: Python, Statistical Methods
Experience: Full-cycle project execution using applied data science methodologies
IBM
IBM
Data Science Principles & Methodologies
Execution of Data Science Tasks
Jupyter Notebooks
Relational Databases & SQL Querying
Hands-on Labs & Applied Projects
UNIVERSITY OF MICHIGAN
UNIVERSITY OF MICHIGAN
Development: Python programming, data structures, and API integration.
Data Engineering: Databases, data retrieval, processing, and visualization.
Application: Integrated these skills in a practical capstone project.
DUKE UNIVERSITY
DUKE UNIVERSITY
Critical Analysis: Systematic argument analysis, evaluation, and logical fallacy recognition.
Structured Reasoning: Application of both deductive and inductive reasoning frameworks.
Persuasive Synthesis: Formulating evidence-based, compelling, and logically sound arguments.
BADGES
BADGES
Data Science Professional Certificate
Applied Data Science
Data Science Fundamentals
Data Science Foundations
Data Science Orientation
Tools for Data Science
Data Science Methodology
Databases and SQL for Data Science
Python for Data Science and AI
Python Project for Data Science
Statistics for Data Science with Python
Data Analysis with Python
Data Visualization with Python
Machine Learning with Python
Applied Data Science Capstone Project
Data Scientist Career Guide and Interview Preparation
Robotics and Automation
Project Management Essentials
Google AI Essentials
Mechanical Engineering
Google Sites
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