Data curation using NLP
- Received ImagineIF award from Boston Scientific for my work on machine learning.
- NLP for a large scale social media analytics.
- Developed several Machine Learning algorithms for analyzing a large scale data
- Developed NLP algotithms such as Sentimental Analysis, Fuzzy Matching, Sensitivity Analysis, Topic Modeling, Entity Recognition etc
- I was a member of large Statistical analysis team.
- I developed and deployed many statistical algorithms to analyze healthcare claim eligibility.
- I conducted peer review of many statistical algorithms and codes that were developed in the statistics team.
► I was in charge to develop new database architecture and data storage systems.
►I have guided and mentored application development teams by creating effective database designs
from business requirements using best practices modeling techniques.
►I also guided several analysts and database developers for data migration and data transformation
- Headed and managed a big data and analytical project to enhance and optimize logistics operation in India.
- Guided the team to develop an analytical solution and software to resolve day-to-day logistics decision making.
- Analyzed logistics data to devise the new logistics strategy particularly for loading and unloading of capacitated trucks and vehicle routing.
- Developed a novel heuristic approach to determine optimum logistics cost.
- Worked with senior managers and director to understand and gather requirements for successful implementation of business application
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- I was part of a large research project in computer laboratory at Cambridge University
- I worked on Semantic analysis for data validation
- I built several statistical models for analyzing public procurement data.
- Completed doctoral courses .
- Attended several international conferences.
- Published 7 research papers in topics of AI, ML, optimization, and simulation.
- Developed computationally efficient machine learning and optimization techniques to solve large scale project scheduling problem.
- Developed optimization heuristics algorithm to solve computationally hard problem especially NP-Hard problems.
- Member of the international conferences organized by The French Institute for Research in
Computer Science and Automation in Metz city of France.
- I was also involved in a distributed computing project led by the director of The French Institute for Research in Computer Science and Automation Metz office
- Querying RDF Data
- RDF Semantic on Relational Data-based Systems
- Led the graduate class team to develop automated shop floor control system.
- Developed simulation model and optimization based decision making support system for the analysis of aircraft design change propagation. This project was funded by The Boeing Company, USA.
- Developed and implemented Agent-based simulation modeling system to model a hazmat drivers route choice problem and behavior. This work was funded by Federal Department of Transportation, USA.
- Built multi-criteria decision making support system for modeling dual-toll pricing policy for regulating hazardous material transportation. This work was funded by National Science Foundation, USA.
- Conducted research on optimizing outbound logistics network design for a manufacturing supply chain using optimization heuristics.
- Developed optimization algorithms to optimize distribution network for manufacturing supply chain.
- Developed a time series forecasting algorithm involving temporal association rules, associated clustering, and ARIMA for stock prediction and flood forecasting.