I love coding, and it happens to be mostly related to data. I love listening to music, and it happens to be mostly rap
I love coding, and it happens to be mostly related to data. I love listening to music, and it happens to be mostly rap
Can't reveal much here for this project
Helped electronic stethoscope brand Thinklabs by using machine learning algorithms to let it record audio of lungs sound and heartbeat to detect in case something is wrong with that part of the body. Implemented the project as a web application with Flask framework which is letting user to upload their own audio data for audio classification
Python for machine learning applications, and programming for deep learning with Keras library. Foundations of Deep Learning, and projects to understand how to build deep neural networks, reinforcement learning, optimization, and learn how to lead successful machine learning projects. Check WIKI page for further information.
IoT Programming and Cognitive Robotics projects and applications, using case studies from sensing, actuation, processing, and communication. Check Wiki page to have a better understanding.
Deep learning project that uses a medical center's heart disease data
You might want to use MCTS. Minmax algo used, pretty straight forward
This was the first and the last time I've used C++ in AI. I remember feeling sad after realizing I was done with C++ in ML
Great Python programs to ace the interviews
Created a dashboard in Tableau that automatically pulls data from Hive database using SQL queries to screen Apple TV orders periodically, and detect fraudulent activity
Mock website for renting cars that's better than most apps you use daily. Developed with Axure.
program that searches through movie reviews from the Rotten Tomatoes considering numeric score & text and determines the general attitude of the audience by their critics
for renting cars that's better than most apps you use daily. Developed with Axure.
to reduce food waste in our community by feeding those in need
I track the data by applying relevant analytical and statistical methods, discovered new trends and to prevent any future fraud activity built and modified different scanners/rules that identify the patterns Actively engaged with the team members, operations and other business partners to provide insights into current fraud controls, potential gaps
Advised startups and helped them with how to use machine learning in their products
Encouraged the youth to STEMM <3
50+ hours
Volunteered to help future innovators in STEMM field