anchalbhalla
Senior Data Scientist at Capgemini Middle East and Computer Science graduate from the University of Wollongong
IBM
Pinned Repositories
binary-number-conversation
covid-analysis
This project shows how to use the full IBM Watson Studio suite to build a solution for health care clients and organizations such as National Emergency and Crisis authorities to evaluate and plan the covid-19 pandemic
data-science-py
detecting-distracted-drivers-icp4d
This demo is created to showcase the various capabilities of IBM Cloud Pak for Data. It shows how it's possible to use a visual recognition model to detect drivers who are distracted on the road. It shows all the end to end capabilities.
Flights-Analysis
Flight Delays Analysis and Predictive Model Solution
heart-failure-detection
This repo showcases the power of data science in the healthcare field. The project uses SPSS to create a machine learning model which predicts whether a patient will get a heart failure or not. The front end of this project is a Flask app.
mortgage-default-prediction-icp4d
This is a demo for the IBM Cloud Pak for Data. This project demonstrates the various capabilities of IBM Cloud Pak for Data which is an end to end analytics tool. It shows how a bank can use this demo to predict whether a customer will default a mortgage or not in the future
mortgage-prediction-html
This repo shows how the mortgage prediction use case was solved for the banking sector using IBM Watson Studio. It is an end to end data science solution solved using IBM Cloud. The application is a python flask app. Uses the new IAM authentication method for WML authentication as well.
mustache-filter
This repo shows the capability of serverless computing on IBM Cloud. This is a fun tutorial on how you can create your very own Snapchat style filter using cloud functions.
transport-accident-analyzer-cloud
This repository shows how its possible to use IBM Watson Studio and build a shiny application that will analyse the driver behavior and location risk. It also explains the business use case using Cognos Dashboards.
anchalbhalla's Repositories
anchalbhalla/covid-analysis
This project shows how to use the full IBM Watson Studio suite to build a solution for health care clients and organizations such as National Emergency and Crisis authorities to evaluate and plan the covid-19 pandemic
anchalbhalla/transport-accident-analyzer-cloud
This repository shows how its possible to use IBM Watson Studio and build a shiny application that will analyse the driver behavior and location risk. It also explains the business use case using Cognos Dashboards.
anchalbhalla/mortgage-prediction-html
This repo shows how the mortgage prediction use case was solved for the banking sector using IBM Watson Studio. It is an end to end data science solution solved using IBM Cloud. The application is a python flask app. Uses the new IAM authentication method for WML authentication as well.
anchalbhalla/detecting-distracted-driver-cloud
anchalbhalla/heart-failure-detection
This repo showcases the power of data science in the healthcare field. The project uses SPSS to create a machine learning model which predicts whether a patient will get a heart failure or not. The front end of this project is a Flask app.
anchalbhalla/detecting-distracted-drivers-icp4d
This demo is created to showcase the various capabilities of IBM Cloud Pak for Data. It shows how it's possible to use a visual recognition model to detect drivers who are distracted on the road. It shows all the end to end capabilities.
anchalbhalla/Flights-Analysis
Flight Delays Analysis and Predictive Model Solution
anchalbhalla/mortgage-default-prediction-icp4d
This is a demo for the IBM Cloud Pak for Data. This project demonstrates the various capabilities of IBM Cloud Pak for Data which is an end to end analytics tool. It shows how a bank can use this demo to predict whether a customer will default a mortgage or not in the future
anchalbhalla/anchalbhalla
anchalbhalla/carbon-tutorial
An app for the Carbon Design System tutorial
anchalbhalla/DO180-apps
DO180 Repository for Sample Applications
anchalbhalla/doc-compliance-app
This repo shows how you could create your own application which will be able to analyse documents and check whether they comply to the rules and policies of the organization. It will also state the entities involved.
anchalbhalla/first-contributions
🚀✨ Help beginners to contribute to open source projects
anchalbhalla/gatsby-portfolio
anchalbhalla/GitterOnnxUtility
A utility tool to count the number of messages sent on each channel on Gitter for a particular user who is subscribed to it and then send a weekly report for the same.
anchalbhalla/home-depot-search
anchalbhalla/icp4d-mortgage
anchalbhalla/intellibank-python
anchalbhalla/MAX-Image-Segmenter-Web-App
Deploy a Deep Learning Powered "Magic Cropping Tool" using Pre-Trained Open Source Models
anchalbhalla/mongo-rest-operator
anchalbhalla/mortgage-default-python
anchalbhalla/my-portfolio-ibm
anchalbhalla/NLU-sentiment-Extraction
This repo shows how you can extract things like context, entities, sentiments, keywords, etc. from text by using IBM Watson natural language understanding service on Cloud
anchalbhalla/Pet-Classification
anchalbhalla/Retail-demand-forcasting
A data science project focused on the retail industry. This projects demonstrates the end to end capabilities of IBM Watson Studio, from data collection to model deployment and usage
anchalbhalla/serverless-workshop-sweden
This lab is designed for the workshop to be conducted in the Øredev Developer Conference 6-8 Nov 2019, Malmö, Sweden where IBM is a sponsor. The lab demonstrates how to create a serverless function on IBM Cloud and build a facial recognition application
anchalbhalla/telco-email-classifier
Classify email requests from the Telco industry using Watson Natural Language Classifier
anchalbhalla/titanic-survival
anchalbhalla/transport-accident-analyzer-ICP4D
This demo showcases the capabilities of IBM Cloud Pak for Data while solving a use case related to transportation authority. It analyses the accidents occurred in Dubai in 2017 and then uses machine learning models to analyse driver and location risk. The front end is build as a shiny application.
anchalbhalla/watson-speech