Aashiya Kanavi

Working with deep learning experts to design and implement networks optimized for GPU-accelerated inference. Developing advanced inference developmental techniques to enable real-time deployment of models. Developing tools for profiling, analyzing, and improving both training and inference performance using Python & C++. Performing appropriate data preprocessing techniques and feature selection to decide on the inputs and outputs that should be fed for the Artificial Intelligence(AI) development model. Predicting safety stock using Machine Learning algorithms combined with manipulating lead times with an R2 score of 82%. Hands on experience with machine learning algorithms for classification & regression models to predict output.

Project : Ascension Healthcare Business Intelligence. Hands-on experience in building large-scale ML systems to solve real-world problems. Able to clean, transform, and analyze vast amounts of raw data from various systems using Spark to provide ready-to-use data to stakeholders. Implemented analytical solutions using C++, Python, SQL, feature engineering and more for solving analytics problems within engineering and production. Ability to tell stories with data using data visualization softwares. Ex.Tableau,Power BI

Written C++ and Python scripts to build and enhance the platform that is used for training ML/DL models. Independently implemented machine learning models by Procuring data from clients and various platforms. Proactively identified the technical issues/bugs.