Machine Learning

Projects

ML Trips Microservice

Created ML Microservice for Trip Analysis using Docker, Flask, ETL, Analytics, S2Geometry, MongoDB, Nginx, Unittest, Pyarrow

MLOps Model Deployment

Model Deployment and monitoring using RNN model, Docker, Neu.ro, Locust Testing

Google Earth Engine data analysis application

Created model using Python, Keras (CNN), Planet API and Google Earth Engine for Augmented Reality IOS Application and was featured in Geospatial World Forum 2018

Deep Learning

Implemented sentimental analysis of client emails using Word2Vec, Scikit, Keras (LSTM) and Google Cloud ML Engine

Chatbot

Worked on chat bot feature using NLP, Socket.IO and Google Cloud and sped up user interaction

Route Optimisation

Analysed vehicle routing problem (carpooling) using optimisation tool, Google Map API, and python (Singapore Project)

Skills Learned

Data Science

Python, Keras (CNN), Routing optimisation, Word2Vec, Scikit, Keras (LSTM)

Data Engineering

Google cloud, Api.ai, Pub/Sub, Google Cloud ML Engine