Data Quality & Security Services
- Big Data Testing
- Big Data Security
Digital Transformation Services
Overview
Digital Transformation Services division @Mirafra offers quality services in the areas of:
- Infrastructure: Cloud engineering, migration, automation
- Data Engineering: Acquistion, life cycle management, governance & security
- Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
- AI/ML: Algorithm development, testing, deployment, ML compiler enhancements & testing
Achievements
- Applied ML techniques in the field of education, Medical applications
- 10, 000 hours of training imparted to workforce
- Talent acquisition from IITs & Tier 1 product companies
- Attrition less than 5% per annum
Services
Big Data Engineering
Infrastructural design & implementation
- Architecture & Design
- Build Big Data Solutions
- Data Lake
- DW/Datamart
- Cluster Setup – On Prem, Cloud and Hybrid
- Big Data Applications
Data Lifecycle Management Services
- ETL, Data Pipelines & ELT
- Data Management – SQL & NO SQL
- Data Governance
- Master Data Management
- Metadata Management
- Migrations & Upgrades – Applications, Database
- Cloud – Migration & Onboarding
Analytics Services
- Descriptive analytical services in project management, resource management, utilization etc.
- Reporting & Visualization services using state of the art reporting tools
- Web & Marketing Analytical services using state of the art frameworks
AI/ML
- ML applications development
- Timing closure for Functional/Shift/Capture modes.
- Development and adaptation of latest concepts like federated learning models
- Predictive analytical services like quality prediction, forecasting
- Services in developing apps that employ speech recognition, image recognition, natural language processing
Cloud Engineering services
Solutions Architecting
- design & deploy apps that are scalabe, highly available, fault tolerant & reliable
- Select appropriate cloud services to suit the app requirements
- Migration to cloud platforms
- DW/DatamartImplementing cost-control strategies
Development/Deployment
- Develop/Deploy/Debug Cloud applications
- APIs, SDKs, CLI, Lambda programming, etc.
- Developing serverless applications
System Maintenance
- CI/CD, containerization, etc.
- deploy and maintain scalable, fault-tolerant systems
- Manage operating costs
- Migrate from On-Prem to Cloud or vice versa
Competitions
- OpenKBP – 2020 AAPM Grand Challenge: Rank: 21 (out of 249 participants)
Topic: Prediction of clinical quality dose distribution
https://competitions.codalab.org/competitions/23428#results
The Challenge
Competitors will predict a clinical quality dose distribution for a patient given only a contoured CT image. The challenge is divided into two streams:
- The 3D Stream where full 3D dose distributions are evaluated.
- The Dose-Volume Histogram (DVH) Stream where only DVH metrics are evaluated
- ISBI 2019: Rank: 15 (out of 150 participants)
Classification of Normal vs Malignant Cells in B-ALL White Blood Cancer Microscopic Image
https://competitions.codalab.org/competitions/20395#learn_the_details
Projects in ML
- Recommendation Engine: Story recommendation for kids (www.storyweaver.org.in)
- HR Analytics: Resume matching to requirement
- Semiconductor Design & Manufacturing: Failure rate prediction for wafer design
- HR Analytics: Banking and Finance: Credit default risk (assessment of risk of loan default)
- Wine Industry: Wine quality prediction based on sensory data
- Chatbots: For Airline reservation system
- Data security in ML: Federated learning to protect personal data
Publications
- IEEE Indicon 2020 Finals: Automatic Extraction of Segments from Resumes using Machine Learning (Automatic Extraction of segments)
- IEEE Indicon 2019: Machine Learning Based System for Automatic Detection of Leukemia Cancer Cell (ML Based Sys for Auto Det of Leukemia)
- ICBAI-2019: An Automatic System for Grouping Resumes Based on Skillset Using Topic Clustering Model (Marking Instance of Nuclei)
- IEEE ICECCT-2019: Computer Aided System for Automatic Detection and Marking Instance of Nuclei (Grouping Resumes based on skillsets)
- ICBAI-2018: Computer Aided System for Automatic Retinal Disease Classification and Region Marking for Affected Areas Using Pixel Level Clustering (Automatic Retinal Disease Classification)