Experienced researcher and engineer with knowledge and understanding across engineering streams, with excellent analytical problem solving and coding skills, adept at, developing probing questions, designing experiments and generating meaningful results. Experienced in identifying and using new technologies and resources. Works and leads teams effectively and collaboratively with individuals and teams
Inferential Statistics
Machine Learning (Regression, Deep Learning, unsupervised learning)
Coding (C, Python(Keras-Tensorflow, Scikit Learn), R, SQL,MATLAB)
Scientific Writing
Qualitative and Quantitative Research
Probability and Statistics
Data Visualization
Finite Element Analysis
Critical Thinking
Artificial Intelligence
Published my research work in a well reputed journal after presentations at international conferences:
https://link.springer.com/article/10.1007/s00707-017-2035-9,
https://link.springer.com/article/10.1007/s00707-015-1539-4,
Recognized by the company for simulating different types of bend using a FEM based code. The code was refactored to incorporate new boundary conditions to simulate these bends
Completed Machine Learning course on Coursera: https://coursera.org/share/3207714a58c1bd8e22756e9d78cae8b7, Currently doing more ML and AI courses on Coursera and Udemy
Artificial Intelligence