Manali Gaur
Over 5-year experience in IT industry and have worked in multiple verticals Healthcare, Retail, Telecommunication & Software products. Have worked on NLP concept-based projects Chatbot for Car Rental Platform, Text Mining & Analysis, Data Extraction for vehicle routing algorithms, Customer Feedback Analysis. Have worked on Machine Learning concept-based projects Gender recognition (male, female and child voices), Machine Comprehension for contracts or research papers, Automotive Speech Interfaces & VFR/IFR information for drone flight. Hands-on experience with Python and Java programming. Hands-on experience on deep learning libraries like OpenCV, TensorFlow, StanfordNLP, OpenNLP & NLTK. High level knowledge of R programming libraries. Hands-on experience on IOS application development using Swift language. Hands-on experience on MongoDB & MySQL. Effectively handling team of 4 members as module Lead without any escalations from client. Proficient at grasping new technical concepts quickly & utilizing them in a productive manner. A strong team player with good interpersonal and communication skills.
- Role
NLP & machine learning Developer
- Years of Experience
4 years
Skillsets
- MySQL
- TensorFlow
- Swift programming
- Stanfordnlp
- ROS
- Opennlp
- OpenCV
- NLTK
- Natural Language Processing
- Java
- MongoDB
- Jira
- J2EE
- Github
- Gazebo
- Deep Learning
- Machine Learning
- Python
Professional Summary
4Years
- Aug, 2018 - Present7 yr 6 months
NLP & machine learning Developer
Third Space Auto - Sep, 2017 - Jul, 2018 10 months
NLP Developer
Genpact - Jul, 2016 - Aug, 20171 yr 1 month
IOS Developer
IBM - Oct, 2012 - Oct, 20131 yr
Associate Software Engineer
Accenture - May, 2015 - Apr, 2016 11 months
Internship Student
CDAC
Work History
4Years
NLP & machine learning Developer
Third Space AutoAug, 2018 - Present7 yr 6 months
Leading a team of 2 members and worked on the following projects: Speech Interface for cars, Gender Recognition (male, female and child voices), Machine Comprehension for lengthy texts like contracts or research papers, Data extraction for routing algorithm, Chatbot for car rental platform where a user could ask questions about the cars like accidental history, performance, past usage, rates etc. Currently working on Explain-ability Interface for various software modules for drones like sense and stop, sense and turn, collision avoidance, preflight checks. Analysis of VFR/IFR information to check airspace zones for drone flight.
NLP Developer
GenpactSep, 2017 - Jul, 2018 10 months
Project: Text Extraction and Analysis. Developed code for extracting textual information from PDF, word files or raw text. The data was extracted based on key terms and contextual information. Initially developed for specific formats the code was later enhanced for more generalized documents. The extracted data contained both text and numbers and was used by the company for contractual analysis.
IOS Developer
IBMJul, 2016 - Aug, 20171 yr 1 month
Project: Tablez - SiteIntelligence. This application was developed for the Tablez company for their Site Survey functionality. All the data is recorded, and the calculations are automatically. The final rating of the site is shown when the survey is completed and submitted. Now the officials can analyze the data and ratings and finally decide whether a site is fit for a brand store or not. The application is being developed on iOS 10 and it will run on iPad. Worked as an application developer implementing several UI features and some parts of backend.
Internship Student
CDACMay, 2015 - Apr, 2016 11 months
Project: Unsupervised Graded Word Sense Disambiguation. In this project, we worked on the problem of assigning appropriate senses to the ambiguous words in each text in a graded manner. We applied an unsupervised approach where we converted all the target terms into vectors and calculated their cosine similarity with the vectors of the contextual words present in the database. We maintained the context as it helped as to refine the results in a better way. Our database has 4 lac sentences taken from Wikipedia to give a complete coverage of words.
Associate Software Engineer
AccentureOct, 2012 - Oct, 20131 yr
Project: KPN AM. The focus of this project was to design and implement a new CRM suite that enabled the client to gain a 360-degree view of its customers across all its products and channels. After the setup and implementation, the main objective remains to constantly upgrade the system and support and maintain it. Worked as a Siebel administrator in the production environment support team.
Major Projects
5Projects
Speech Interface for cars
Gender Recognition (male, female and child voices), Machine Comprehension for lengthy texts like contracts or research papers, Data extraction for routing algorithm, Chatbot for car rental platform where a user could ask questions about the cars like accidental history, performance, past usage, rates etc.
Text Extraction and Analysis
Developed code for extracting textual information from PDF, word files or raw text. The data was extracted based on key terms and contextual information. Initially developed for specific formats the code was later enhanced for more generalized documents. The extracted data contained both text and numbers and was used by the company for contractual analysis.
Tablez - SiteIntelligence
This application was developed for the Tablez company for their Site Survey functionality. All the data is recorded, and the calculations are automatically. The final rating of the site is shown when the survey is completed and submitted. Now the officials can analyze the data and ratings and finally decide whether a site is fit for a brand store or not. The application is being developed on iOS 10 and it will run on iPad.
Unsupervised Graded Word Sense Disambiguation
In this project, we worked on the problem of assigning appropriate senses to the ambiguous words in each text in a graded manner. We applied an unsupervised approach where we converted all the target terms into vectors and calculated their cosine similarity with the vectors of the contextual words present in the database. We maintained the context as it helped as to refine the results in a better way. Our database has 4 lac sentences taken from Wikipedia to give a complete coverage of words.
KPN AM
The focus of this project was to design and implement a new CRM suite that enabled the client to gain a 360-degree view of its customers across all its products and channels. After the setup and implementation, the main objective remains to constantly upgrade the system and support and maintain it.
Education
Master of Technology
Banasthali Vidyapith, Jaipur (2016)Bachelor of Technology
Jaypee University of Engineering and Technology (2012)