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Based on the currently available forecasts, the number of patients in Gujarat is expected to peak by 26th May with ~6.5 K infected cases across the state
Based on the currently available forecasts, the number of patients in Tamil Nadu is expected to peak by 1st June with ~8.8 K infected cases across the state
Based on the currently available forecasts, the number of patients in India is expected to peak by 1st June with ~68 K infected cases across the country
Based on the currently available forecasts, the number of patients in Rajasthan is expected to peak by 31st May with ~2.6 K infected cases across the state
Based on the currently available forecasts, the number of patients in Delhi is expected to peak by 20th May with ~5.4 K infected cases across the state
Based on the currently available forecasts, the number of patients are expected to peak by 9th June with ~38 K infected cases across the state across the country
Based on the currently available forecasts, the number of patients in US is expected to peak by 29th May with ~1.13 M infected cases across the country
Forecasted no of cases for 31st May 2020 under varying lockdown conditions.
The situation in New York is expected to be different with the number of patients in New York, expected to peak by 20th June with ~292 K infected cases across the state.
Though the number of patients in Massachusetts is expected be lower than NY and NJ, it is expected to peak by 13th Jun with ~93 K infected cases across the state
Based on the currently available forecasts, the number of patients in New Jersey is expected to peak by 15th Jun with ~145 K infected cases across the state.
Based on the currently available forecasts, the number of patients in Illinois is expected to peak by 16th May with ~69 K infected cases across the state.
Based on the currently available forecasts, the number of patients in California is expected to peak by 26th May with ~68 K infected cases across the state
Forecasted no of cases for 31st May 2020 under varying lockdown conditions.
– Data Lake Design Consulting
– Implementation services
– Data Migration services to big data- Design, Execute, Governance & Maintenance
– Model Migration services to scale to big data
Data Pond & Pipeline Development for Automation
– Design Data marts/ Data Ponds
– Design and develop data ponds, specific use case related
– Data Pipeline build and automation for specific Ponds
Data Transformation
– Data Cleansing
– Missing Data Imputation
– Data Extraction(ELT) & Preparation for model/app consumption
Exploratory Data analysis in Big Data
– Dynamic Visualization & Analysis
– Analytics App UX/UI design
Dashboard and Scorecard
– Real time dashboard development: Integrated with traditional data warehouse/data lakes
– Balanced score card
APP development
– Web & Mobile App: Enterprise scale
– Flexible & Re-usable micro app development
Deployment service
– Deployment Consulting & Architecture Design
– Model integration services in:
– Existing IT system/tools
– Edge and IoT system
– Docker containerization services
– End to end cloud implementation for AWS, AZURE, GCP
– Cloud Administration
– Data migration from cloud to cloud environments
– Development and management services
– Cloud Security risk management
– Analytical Problem Definition & Translation
– Statistical Hypothesis Testing
– Prediction Using Standard Algorithms
– Model Maintenance for Business Relevance
– Machine Learning Based Solutions
– Identify and Estimate KPIs
– Highest Level of Accuracy
– Computer Vision, Speech & NLP Based Text Processing
– Analytics deployment through machine learning and statistical methods
– Improves data quality & reliability
– Designing Machine learning and deep learning systems
– Running Machine Learning tests and experiments
– Implementing ML algorithms
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