Kush Teppalwar Email & Phone Number
@appzen.com
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Who is Kush Teppalwar? Overview
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Kush Teppalwar is listed as Senior Data Scientist at Walmart Global Tech India, a with 11195 employees, based in Pune, Maharashtra, India. AeroLeads shows a work email signal at appzen.com and a matched LinkedIn profile for Kush Teppalwar.
Kush Teppalwar previously worked as Data Scientist 2 at Appzen and Data Scientist 1 at Appzen. Kush Teppalwar holds Bachelor Of Technology, Computer Science from Pune Institute Of Computer Technology.
Email format at Walmart Global Tech India
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AeroLeads found 1 current-domain work email signal for Kush Teppalwar. Compare company email patterns before reaching out.
About Kush Teppalwar
Strong aptitude for programming, good reasoning skills and problem-solving capabilitiesbeliving in execution, teamwork and open to a new opportunity
Listed skills include Machine Learning, Deep Learning, Computer Vision, C++, and 14 others.
Kush Teppalwar's current company
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Kush Teppalwar work experience
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Data Scientist 2
Data Scientist 1
1) Achieved 95% accuracy in production by training and deploying a graph attention network model to extract Invoice Number, PO Number, and Invoice Date from multilingual invoices.2) Achieved 90% accuracy across columns by creating a table extraction model for Tax Summary table extraction from multilingual Invoices using a Relational Graph Convolution Neural Network.2) Trained a receipt classification model for Hotel Itemisation receipts to automatically reject receipts with very high confidence.
Data Science Analyst
1) Extracting Actual Items: Built a Text-based Bi-LSTM model that achieved 92% accuracy by utilizing my skills in natural language processing and machine learning.2) Identifying Hotel Receipts: Designed an Image and Text-based Binary classifier using CNN and LightGBM respectively that achieved a high Precision of 95% by utilizing my skills in computer vision and machine learning.3) Detecting Bounding Boxes: Trained a faster-RCNN Inception V2 model to accurately detect bounding boxes around handwritten amounts and dates from Receipts by utilizing my skills in computer vision and object detection.4) Recognizing Handwritten Text: Trained a CNN-RNN-Connectionist Temporal Classification based Handwritten Recognition model to accurately recognize handwritten text by utilizing my skills in computer vision and natural language processing.5) Detecting Final Amount: Built a Logistic Regression model that accurately detected the Final amount from Japanese and Chinese Receipts by utilizing my skills in machine learning and data analysis.6) Extracting Keyword-Based Entities: Implemented a Graph-Based DSL framework to accurately extract keyword-based entities based on patterns by utilizing my skills in data analysis and natural language processing.7) Developing Auto ML Pipeline: Developing an Auto ML Pipeline using ML-Flow for the model to learn on its own with feedback data on the wrong prediction by utilizing my skills in machine learning and data analysis.8) Ranking Employees Compliance: Developed an unsupervised ranking method for employees compliance based on Poisson distribution that accurately ranked employees compliance by utilizing my skills in statistics and data analysis.
Associate Software Developer Ai/Ml
Ai/Ml Intern
1) Achieved 92% accuracy on a Custom NER Model using Stanford CoreNLP on a dataset of 50,000 contracts.2) Implemented Bidirectional LSTM-CNNs for the Named Entity Recognition to achieve good accuracy. 3)Assisted in building clause classification model using LightGBM4)Automated the process of annotating the missing patterns which were not captured by the existing NER model by developing the frontend and backend for a website.
Project Intern
There was no way to expose user-defined REST APIs in AR platform. The developers of external system had to write custom code to do this. This project allowed us to expose AR platform's custom REST APIs in a code-less manner using configuration. It allowed developers to configure details like endpoint URL, JSON structure mapping for POST, PUT methods, and output mapping for GET methods.
Game Development
Started college's 1st game development branch under PISB(PICT IEEE Student Chapter). Managed and trained juniors with basics of game development, Unity and C#Successfully developed and delivered 2 1st person games for college fest.
Director
The Interact club initiative by Rotary International Organization.Conducted various drives like visiting municipal schools to teach certain topics, generate monetary funding for Rural women upliftment
Kush Teppalwar education
Bachelor Of Technology, Computer Science
High School Graduat, Physics
Frequently asked questions about Kush Teppalwar
Quick answers generated from the profile data available on this page.
What company does Kush Teppalwar work for?
Kush Teppalwar works for Walmart Global Tech India.
What is Kush Teppalwar's role at Walmart Global Tech India?
Kush Teppalwar is listed as Senior Data Scientist at Walmart Global Tech India.
What is Kush Teppalwar's email address?
AeroLeads has found 1 work email signal at @appzen.com for Kush Teppalwar at Walmart Global Tech India.
Where is Kush Teppalwar based?
Kush Teppalwar is based in Pune, Maharashtra, India while working with Walmart Global Tech India.
What companies has Kush Teppalwar worked for?
Kush Teppalwar has worked for Walmart Global Tech India, Appzen, Icertis, Bmc Software, and Ieee.
How can I contact Kush Teppalwar?
You can use AeroLeads to view verified contact signals for Kush Teppalwar at Walmart Global Tech India, including work email, phone, and LinkedIn data when available.
What schools did Kush Teppalwar attend?
Kush Teppalwar holds Bachelor Of Technology, Computer Science from Pune Institute Of Computer Technology.
What skills is Kush Teppalwar known for?
Kush Teppalwar is listed with skills including Machine Learning, Deep Learning, Computer Vision, C++, C, Unity3D, Python, and Support Vector Machine.
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