Abhinav Ram Bhatta
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Abhinav Ram Bhatta Email & Phone Number

Machine Learning Engineer | Data Analytics | Predictive Modeling | Healthcare & Sports Analytics
Location: Chicago, Illinois, United States 2 work roles 1 school
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Role
Machine Learning Engineer | Data Analytics | Predictive Modeling | Healthcare & Sports Analytics
Location
Chicago, Illinois, United States

Who is Abhinav Ram Bhatta? Overview

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Abhinav Ram Bhatta is listed as Machine Learning Engineer | Data Analytics | Predictive Modeling | Healthcare & Sports Analytics based in Chicago, Illinois, United States. AeroLeads shows a matched LinkedIn profile for Abhinav Ram Bhatta.

Abhinav Ram Bhatta previously worked as Data Scientist - RA at University Of Illinois College Of Medicine and Data Scientist/Analyst at E-Mug Technologies Pvt. Ltd.. Abhinav Ram Bhatta holds Master Of Science - Ms, Business Analytics from University Of Illinois Chicago.

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About Abhinav Ram Bhatta

I am a dynamic Machine Learning Engineer with a strong foundation in data analytics, predictive modeling, and cloud-based AI solutions. With extensive experience working on high-impact projects in healthcare and sports analytics, I have developed sophisticated machine learning models, automated data pipelines, and real-time analytics systems to enhance decision-making and operational efficiency.Some of my key accomplishments include:* Spearheading the development of advanced predictive models that boosted player performance and

2 roles

Abhinav Ram Bhatta work experience

A career timeline built from the work history available for this profile.

Data Scientist - Ra

Chicago, Illinois, United States

  • Regression Analysis for The Department of Mental Health, Illinois
  • Directed the application of NLP techniques and regression models to analyze patient trends, achieving model accuracies of 81.32% (linear) and 89.77% (polynomial) regression.
  • Spearheaded the integration of supervised learning algorithms with large-scale medical datasets, reducing unnecessary hospitalizations by 13%.
  • Led the development of robust API frameworks to ensure seamless deployment of healthcare… Show more Regression Analysis for The Department of Mental Health, Illinois
  • Led the development of robust API frameworks to ensure seamless deployment of healthcare analytics models, supporting real-time access for medical professionals.End-to-end Pipeline for Synthetic Syndromic Surveillance.
  • Architected and led the implementation of an end-to-end machine learning pipeline on Azure, processing over 2 TB of data to support real-time health surveillance.
Feb 2023 - May 2024

Data Scientist/Analyst

Hyderabad, Telangana, India

  • Analysis of Healthcare Reviews: Text Mining and Sentiment Analysis
  • Developed and implemented advanced NLP models and transformer-based techniques (GPT) to analyze healthcare reviews, achieving 89.56% accuracy in sentiment classification.
  • Led multiple projects focused on enhancing health threat detection across various medical domains, achieving a 20% improvement.
  • Automated critical reporting and data processing workflows using Databricks, reducing manual effort by 88%.
  • … Show more Analysis of Healthcare Reviews: Text Mining and Sentiment Analysis
  • Applied PySpark and Databricks for data curation, integrating text mining models. Credit Analytics and Automation Enhancement
Aug 2018 - May 2022
1 education record

Abhinav Ram Bhatta education

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What is Abhinav Ram Bhatta's role at their current company?

Abhinav Ram Bhatta is listed as Machine Learning Engineer | Data Analytics | Predictive Modeling | Healthcare & Sports Analytics.

Where is Abhinav Ram Bhatta based?

Abhinav Ram Bhatta is based in Chicago, Illinois, United States.

What companies has Abhinav Ram Bhatta worked for?

Abhinav Ram Bhatta has worked for University Of Illinois College Of Medicine and E-Mug Technologies Pvt. Ltd..

How can I contact Abhinav Ram Bhatta?

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What schools did Abhinav Ram Bhatta attend?

Abhinav Ram Bhatta holds Master Of Science - Ms, Business Analytics from University Of Illinois Chicago.

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