Anil B.

Anil B.

Data Scientist with NLP Experience

Hyderabad , India

Experience: 15 Years

Anil

Hyderabad , India

Data Scientist with NLP Experience

42336 USD / Year

  • Start Date / Notice Period end date: 2019-12-02

15 Years

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About Me

Professional Summary

Having experience in Data Analytics, Solution Architecture, System Design & Development, and experience in leading the projects covering the entire life cycle. I have experience working onsite ...

Snapshot

  • Data Science Lead - Having 2.5 years of experience in Text Analytics, EDA, Predictive modelling, Statistics, Regression, Classification and other Machine Learning Techniques across Finance and Engineering domains.
  • Solution Architecture - Having 5 years in Solution Architecture & Technical Project Management in robotics, transport and engineering domain
  • Application ProgrammingHaving  8 years in Application programming, Web Programming, Client/Server systems & ETL

- Having experience in Data Science in NLP, Classification and Regression.

- Proficient in Python programming with Flask framework

- Well versed in programming in VC++ and .Net frameworks

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Portfolio Projects

Description

Ticket Auditing Tool uses text analytics to classify the Support tickets based on the ticket’s text data and segment them as per need. Software used - Python language for Data Processing & Creating Excel reports and for developing Machine Learning models.Flask UI, to create the Client side Web-Interface with the Python application acting at the server side. The application invokes the NLP Model for analytics which is hosted as a Web Service

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Description

Invoicing Delay Analytics predict the variables influencing delay in invoice processing and suggest any corrective measures like process improvisation etc. Developed a Regression & Classification Model, using linear regression & Radom Forest classifier which predicts the invoice value given few dependent variables and delay possibility of an invoice.

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Description

Designed and developed an Automatic Code Exchange application for Queensland Railways, Australia, using VC++ and an exchange protocol using TCP & UDP. Worked on Log Analysis of semi structured data using python scripting. Task is to classify the signaling parameters as Correct/Error prone based on the Logistic Regression model developed using the railway signaling issues and suggesting corrective actions

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Description

Designed and worked on Next Generation Robotic System, Italy, which involved simulation of Robotic action on VC++ UI. Worked on Predictive Diagnostics module showing the failure of Robotic components due to wear & tear and various other parameters. A model is developed to perform diagnostics which calculates probability of failure.

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