You will get healthcare claim extract for building reports dashboard Data Point of Care
You will get healthcare claim extract for building reports dashboard Data Point of Care
Project details
I can do Healthcare Claim analysis to help providers visualize 360-degree view of a given patient
claims with data extract from Data Point of Care run by CMS.gov
claims with data extract from Data Point of Care run by CMS.gov
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$2,000
|
Standard
$3,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 25 days | 35 days | 40 days |
Number of Revisions | 3 | 5 | 7 |
Frequently asked questions
About Upasana
Data Scientist with 6+ years exp
Edmonton, Canada - 2:07 pm local time
Holds experience in projects in building Online Learning system, building analytics model (ETL & Dashboards), building a platform for increasing user engagement, Entity recognition,
Predictive Analytics, Sentence generation, Information extract from Automatic speech engine call transcripts, Predictive Lead Generation, financial forecasting, sentiment analysis, mood detection, facial expression detection, connection recommendation, fraud detection and churn prediction.
My recent experience includes building Machine Learning platform for a real-estate company which could help agents in finding the right set of customers and display the right set of features of properties to customers in order to guide them better.
Days on market prediction for real estate listings to provide better visibility on trending
properties to real estate agents
- Residential property price prediction for listings to help agents evaluate and assess a
given property for its real market value
- Object detection from listing images to score them based on their usability
- Listing description suggestion to help customers put right sentences for their listings
- Named Entity Recognition to convert raw search queries into structured query and provide better search suing Spacy
experience to end customer
- Image sorting based on features of images for a given listing
- End to end build, containerization, and deployment of services on Google Cloud Platform
- Built Analytics Model for Wellbeing Center and a platform to bring local marketplace on single platform
- Built mood detection service to analyze mood of patients during conversation with doctor in peace.
- Built recommendation framework to improve user engagement in collective
- Built algorithm for sending daily & weekly digest to collective users
- Built Summary & Engagement Dashboards for collective admins to get overview of the
activities happening in collective
- Built sales lead score prediction model based on ASR call transcripts
- Built key-phrases discovery model based on ASR call transcripts
- Built sentiment analysis model for ASR call transcripts with Google BERT
- Built user analysis model based on computer vision and deep learning for a retail client. Model was built to detect face, age, gender and emotion of the person real-time through webcam with 95%, 80%, 95%, 88% respectively.
- Built a trading platform, custom dashboard was built backed with machine learning models to forecast financial returns and news sentiment analysis with more than 100 features collected by statistical methods and scraping using python.
Databases: MongoDB and NoSQL. Same was experimented at first with PySpark machine learning Models and visualized on Apache Superset.
- Built a sentiment analysis model for customer targeting project by using tweets with 95% accuracy. Tweets were scraped related to store and sentiment analysis was done to analyze range of customers who are positive towards store and their particular products. Negative tweets were analyzed for feedback and improvise products of store.
- Designed & built a fraud detection model to detect forged part of the image if the image is edited.
- Collaborated with a fintech firm for churn prediction, bank transaction frauds and credit card frauds using graph database, deep learning and anomaly detection.
Accomplishments
- Won EESL Hackathon on Smart Energy Meters at IIT Mandi
- Won Bertelsmann Scholarship in AI
Steps for completing your project
After purchasing the project, send requirements so Upasana can start the project.
Delivery time starts when Upasana receives requirements from you.
Upasana works on your project following the steps below.
Revisions may occur after the delivery date.
API Integration
REST API building for dashboards