FullStack Developer || AI/Machine Learning Engineer || UI/UX
Graduate Student pursuing a Master's Degree in Computer Science and Quantitative Methods with a concentration in Predictive Analytics at Austin Pay State University.
Experienced Data Analyst with a demonstrated history of working in the financial services industry. I am passionate about real-world applications of Machine & Deep Learning by leveraging the Cloud Infrastructure.
Learn about what I doTake a look at some of the things I love working on.
Customer recommendation engines. Fraud detection. Decision support. Operational efficiencies in Supply Chain.
Face Recognitions. Object Recognition. Self-Driving Cars.
Sentiment Analysis. Machine Translation. Text summarization.
Here’s some stuff I made recently.
This is a flask based ML project deployed on Heroku. It is an End-to-end development and deployment of fuel Prediction of 70s and 80s vehicles. I used the classic Auto MPG dataset from UCI ML Repository
This is a flask based ML project deployed on Heroku. It is an End-to-end development and deployment of object recognition model using openCV
This is a flask based ML project deployed on Heroku. It is an End-to-end development of a sentiment analysis engine for yearly IEA student fulfillment survey
It has been 3 years ago since I first encountered the Titanic Kaggle Challenge. It still remains one of the best ways for beginners to learn about machine learning competitions. If you are new, I highly recommend going through Alexis Cook Tutorial then coming back here to learn how to use Azure Machine Learning Studio. Without further ado let's jump right in.
This is a flask based ML project deployed on Heroku based on the legendary MNIST digit Recognizer.
I actually developed this word cloud based on the medium post I wrote about my late friend. I then did a image masking on the word cloud
I am actively in search of a summer internship position in my field of interests.