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Umang Singhal

Data Scientist | Learner

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About

Umang Singhal is a seasoned data scientist with over 6.5 years of experience in machine learning. He has a strong background in fintech and online gaming startups and possesses expertise in improving user experience, fraud detection, and increasing user engagement through data-driven improvements in customer journeys. Umang is skilled in tabular ML and computer vision and has a focus on leveraging data to drive business decisions and growth. Currently, Umang is working as a Data Scientist II at Mobile Premier League, where he has led the development and deployment of a churn prediction service that has improved user retention by 2.3% using a boosted decision-tree model. He has also been involved in the design, development, and deployment of several fraud detection models in card games, which have led to a 98% reduction in customer tickets and driven 30% extra revenue and high lobbies due to improved trust, without any extra ad spend. Prior to his current role, Umang worked as a Senior Data Scientist at Paytm, where he led the automation of the user-signup process, reducing rejection rates by 80% and time-to-approval from over 2 hours to under 30 minutes. He also built an image classification model to check document correctness and completeness in real-time using Keras and deployed it using tf-serving and fastapi on docker. This led to a 30% reduction in process completion time and a 4% increase in approval rates. Additionally, Umang led the development of a custom tesseract model for OCR on user IDs, optimized the base pytesseract package for multi-segment OCR, and improved inference speed by 70%. Umang's educational background includes a Bachelor of Technology degree in Computer Engineering from Sardar Vallabhbhai National Institute of Technology, Surat. He also attended Kendriya Vidyalaya for his secondary education. Umang's tech stack includes Data Scientist, Research Scientist, ML, SQL, Deep Learning, Computer Vision, Spark, Python, NLP, Keras, Docker, Databricks, AWS, Tensorflow, and MySQL. With almost 7 years of relevant experience, Umang is a highly skilled data scientist with a proven track record of delivering results.

Education Overview

nit surat sardar vallabhbhai national institute of technology surat

Companies Overview

inmobi

mobile premier league

paytm

neurai

accenture

hubilo

Experience Overview

8.6 Years

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Contact Details

Email (Verified)

umaXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX51

Education

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Frequently asked questions

What company does Umang Singhal work for?

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Umang Singhal works for inmobi

What is Umang Singhal role in their workplace?

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Umang Singhal's role in their workplace is Data Scientist III

What is Umang Singhal's tenure in their workplace?

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Umang Singhal's tenure in their workplace is 2.00 years

What is Umang Singhal's total experience?

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Umang Singhal's total experience is 8.58 years

What is Umang Singhal's LinkedIn profile?

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Umang Singhal's LinkedIn profile can be found here

What is Umang Singhal's email address?

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Umang Singhal's email address is umaXXXXXXXXXXXXXXXXom. Unlock here

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Umang Singhal's phone number is +91XXXXXXXX51. Unlock here

What schools did Umang Singhal attend?

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Umang Singhal has attended nit surat sardar vallabhbhai national institute of technology surat

What companies has Umang Singhal worked with?

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Umang Singhal has worked with inmobi, mobile premier league, paytm, neurai, accenture, hubilo

What are some of Umang Singhal's skills?

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Umang Singhal has skills in Amazon Web Services (AWS), Android, apache, Apache Hive, Apache Spark, Automation and more.

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You can request deletion here - Delete my profile

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