Developed an LLM application that can act as friend during job search. The application is capable of resulting key words matching score between resume and job description. Other capabilities include description of resume with reference to job description provided, how to improve skills, motivations during job hunting, and drafting LinkedIn recommendation message.

Implemented a deep learning AI model to classify handwritten numeric digits on MNIST dataset using TensorFlow. Achieved 98.8% accuracy with two layered Convolution Neural Network (CNN).

Built an end-to-end machine learning and statistical modeling using R language for predicting car prices, which effectively predicted car prices with an accuracy of 68% and a least mean square error of 39804156.49.

Developed a eye catching data visualization on city of Dallas police arrests. I have found many insights about arrests patterns and frequency of arrests in the city. These outcomes can be used by city managers to view and strengthen the law and order of the city.

Built the predictive ML model which can predict whether a patient have chance getting heart attack. Doctors and research analysts can use this model as precautionary measures for their patient and provide appropriate treatments and actions.