Chaithanya Manda
VP, Digital R&D
- Role
- VP, Digital R & d at EXL
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Chaithanya Manda
Enabling digital transformation through AI/Machine Learning solutions; Building AI solutions and implementing them in real world use cases across Healthcare, Insurance, Travel, Logistics, Marketing and other domains Core competencies include:Generative AI, Machine Learning (including Deep Learning), NLP, Image Analytics, Speech Analytics, Recommender Systems, Optimization, Network Analytics, Cloud (AWS, Azure, GCP), Visualization, Project Management, Product Management,
Experience
VP, Digital R & d
Jul 2021 — Present · New York, NY, US
Building a multi patented AI powered platform enabling development of multiple industry specific Gen AI and Digital solutions which have brought in tangible business value for various clients.Leading development of a multi-agentic healthcare case management solution which can take in unstructured medical records to sort and organize files by provider and date of service, infer diagnosis codes, medications and procedure details, create a summary report for review with nurses and create the right foundation for downstream voice agents recruiting patients for a readmission reduction program.Led the development of an Enterprise Content Management system which can intake documents of all modalities, perform automated indexing with dynamic freeform search powered by Agentic RAG to uncover hidden insightsLed the implementation of an Enterprise grade Contract extraction solution for a Global Manufacturer utilizing Context aware advanced RAG along with finetuned LLMs to auto extract major clause details and identify potential compliance across Contracts,
Education
Indian Institute of Technology, Guwahati
B.Tech, Biotechnology
2004 — 2008
Skills
- Decision Support
- Marketing Analytics
- R
- Cluster Analysis
- Customer Analysis
- Vba
- Data Analysis
- Segmentation
- Business Analytics
- Logistic Regression
- Predictive Analytics
- Sas Programming
- Customer Analytics
- Linear Regression
- Analytics
- Statistical Modeling
- Time Series Analysis
- Predictive Modeling
- Sas
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