Geethamadhuri Kunapareddy

Geethamadhuri Kunapareddy Email and Phone Number

Data Scientist | Machine Learning | Deep Learning | Natural Language Processing @ Cognizant
teaneck, new jersey, united states
Geethamadhuri Kunapareddy's Location
Canada, Canada
About Geethamadhuri Kunapareddy

Data Scientist with almost 4+ years of experience in building Machine Learning predictive models Natural Language Processing, Providing Data Analytics, Statistical Analysis of data, Data cleansing and working extensively on AI projects .Also by using NLP and developed the NLU methods like language translation, text summarization and named entity recognition using Python. Highly educated and organized data scientist with an in-depth knowledge of research or statistical models. Innovative with an ability to develop new solutions and interpretations. Strong communication skills and able to learn new techniques or tools with ease.

Geethamadhuri Kunapareddy's Current Company Details
Cognizant

Cognizant

View
Data Scientist | Machine Learning | Deep Learning | Natural Language Processing
teaneck, new jersey, united states
Website:
cognizant.com
Employees:
278214
Geethamadhuri Kunapareddy Work Experience Details
  • Cognizant
    Programming Analyst
    Cognizant Aug 2022 - Present
    Hyderabad, Telangana, India
    Automation within Airlines
  • Cognizant
    Programming Analyst
    Cognizant Sep 2021 - Aug 2022
    Hyderabad, Telangana, India
    NG- Migration is a python standalone application developed to extract the raw XML to python files from AyehuNG tool.
  • Unify Technologies
    Data Scientist
    Unify Technologies Jun 2019 - Sep 2021
    Hyderabad, Telangana, India
    The aim of the project is Human-in-the-Loop (HITL) This concept leverages both human and machine intelligence to create machine learning models. In this approach, humans are directly involved in training,tuning and testing data for a particular ML algorithm. A common platform is created for the image, text &audio data extraction and training of the AI or ML algorithm.
  • Unify Technologies
    Internship
    Unify Technologies Jan 2019 - May 2019
    Hyderabad, Telangana, India
    Optical Character Recognition (OCR) is a system that provides a full alphanumeric character recognition on an image. The system allows extracting text from an image, to convert it later into an editable file.Using Pytesseract Library.

Geethamadhuri Kunapareddy Education Details

  • Velagapudi Ramlakrishna Siddhartha Engineering College, Vasantha Nagar, Kanuru, Vijayawada-520007(Cc-8W)
    Velagapudi Ramlakrishna Siddhartha Engineering College, Vasantha Nagar, Kanuru, Vijayawada-520007(Cc-8W)
    A++
  • Sri Srinivasa Degree College
    Sri Srinivasa Degree College
    A
  • Prasanna Juniour College
    Prasanna Juniour College
    A+
  • Assisi English Medium High School
    Assisi English Medium High School
    A++

Frequently Asked Questions about Geethamadhuri Kunapareddy

What company does Geethamadhuri Kunapareddy work for?

Geethamadhuri Kunapareddy works for Cognizant

What is Geethamadhuri Kunapareddy's role at the current company?

Geethamadhuri Kunapareddy's current role is Data Scientist | Machine Learning | Deep Learning | Natural Language Processing.

What schools did Geethamadhuri Kunapareddy attend?

Geethamadhuri Kunapareddy attended Velagapudi Ramlakrishna Siddhartha Engineering College, Vasantha Nagar, Kanuru, Vijayawada-520007(Cc-8w), Sri Srinivasa Degree College, Prasanna Juniour College, Assisi English Medium High School.

Who are Geethamadhuri Kunapareddy's colleagues?

Geethamadhuri Kunapareddy's colleagues are Karthick R, Hamsaveni A S, Sayali Kamble, Urvi Shah, Madhu Chikkamayegowda, Subhajit Das, Unnikrishnan Vn.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.