Summary
Overview
Work History
Education
Skills
Languages
Additional Information
Timeline
Generic

Heeba Altaf Gurku

Bangalore,karnataka

Summary

Machine Learning Engineer and healthcare professional with 12+ years of expertise in healthcare, medical technology, clinical data, and revenue cycle optimization. Experienced in developing innovative ML solutions for data-driven decision-making. Skilled in leveraging advanced analytics and predictive modeling techniques to optimize outcomes and operational efficiency. Accomplished in compiling, transforming, and analyzing complex information. Expertise in machine learning and large dataset management, with a proven track record of identifying relationships and building business solutions.

Overview

15
15
years of professional experience

Work History

Machine Learning Engineer

CrosbyHealth
08.2023 - Current
  • Developed an end-to-end Medical Appeal Generation product utilizing large language models to extract key information from medical notes and insurance denials, streamlining the appeal process for Occupational Therapy, Physical Therapy, and Speech
  • Engineered a Medical LLM tailored with extensive clinical and billing data to automate denial reasons categorization, improving appeal success rates by 15%
  • Analyzed denial patterns and created data-driven prompts for automated appeal letters disputing denials for various therapy disciplines, enhancing team efficiency and reducing manual intervention by 50%
  • Utilized MCG guidelines to develop clinical prompts and structure appeal documents, resulting in improved appeal outcomes
  • Implemented scalable machine learning platforms that supported large-scale deployments of AI-driven applications.
  • Facilitated knowledge transfer sessions among team members on specialized topics such as deep learning architectures and natural language processing techniques, fostering a collaborative learning environment.

Consultant

Narayana Hrudyalaya Hospital
09.2017 - 07.2023
  • Delivered advanced radiotherapy treatments to over 1000 patients, managing comprehensive patient care and working collaboratively with multidisciplinary teams to improve therapeutic outcomes.

Fellow Resident Radiation Oncology

Narayana Hrudyalaya Hospital
01.2016 - 07.2017
  • Specialized in advanced brachytherapy techniques, focusing on protocol optimization to enhance patient outcomes in clinical radiotherapy. Provided effective treatment to more than 100 patients.

Clinical Associate / Assistant

Sevenhills Hospital, Kokilaben Hospital
02.2015 - 12.2015
  • Improved patient outcomes by accurately assessing and diagnosing medical conditions through clinical evaluations.
  • Coordinated with other healthcare professionals to provide patients with comprehensive care.
  • Identified indications for radiation therapy and planned and delivered the treatment accordingly to 300 patients.

Post Graduate Resident

Sheri Kashmir Institute of Medical Sciences
05.2010 - 04.2013
  • Improved patient outcomes by implementing evidence-based treatment plans and closely monitoring progress.
  • Improved patient outcomes by accurately assessing and diagnosing medical conditions through clinical evaluations.
  • Coordinated with other healthcare professionals to provide patients with comprehensive care.
  • Identified indications for radiation therapy and planned and delivered the treatment accordingly to more than 2000 patients.

Education

M.S - Machine Learning

Liverpool John Moore's University
Liverpool UK,
2023

Executive Diploma in Machine Learning - Machine Learning

International Institute of Information Technology
Bangalore , India,
2022

Fellowship in Advanced Radiation Oncology And Brac - Radiation Oncology

Rajiv Gandhi University of Health Sciences
Bangalore , India,
2017

M.D. - Radiotherapy

Sheri Kashmir Institute of Medical Sciences
Srinagar, India,
2013

MBBS - Medicine

Sheri Kashmir Institute of Medical Sciences
Srinagar, India,
2009

Skills

  • Python, SQL, Docker, AWS, Cloud Computing
  • TensorFlow, PyTorch,Jupyter Notebook
  • NLP, Large Language Models, Computer Vision, Feature
  • Spacy, Pandas, Seaborn, Matplotlib
  • Reinforcement Learning, Generative Adversarial, Networks (GAN), Cycle, GAN, Attention-Guided GAN
  • Support Vector Machines, Ensemble Methods, K-Nearest Neighbors, Feature Engineering, Natural Language Processing, Supervised Learning, Unsupervised Learning
  • Neural Networks , Deep learning

Languages

  • English – Fluent
  • Hindi – Fluent
  • Additional Information

    • Project Name — AI based Medical Appeal Generation: Developed an advanced AI solution to automate medical appeal generation, focusing on Physical Therapy, Occupational Therapy, and Speech Therapy claims using large language models (LLMs). Created a comprehensive ruleset to capture critical medical, clinical, and billing details, enhancing accuracy and relevancy in appeal letters and reducing manual intervention. Implemented prompt engineering techniques to customize AI responses for healthcare-specific scenarios, significantly improving automation e ciency. Leveraged cloud computing and Docker for scalable deployment and faster processing, ensuring robust and secure access to model capabilities.



    Certifications

    • Professional Data ScienceCertificate – IBM, Coursera
    • Python 3 Programming Specialization – University Of Michigan, Coursera
    • Basic Statistics – UniversityOf Amsterdam, Coursera

    Timeline

    Machine Learning Engineer

    CrosbyHealth
    08.2023 - Current

    Consultant

    Narayana Hrudyalaya Hospital
    09.2017 - 07.2023

    Fellow Resident Radiation Oncology

    Narayana Hrudyalaya Hospital
    01.2016 - 07.2017

    Clinical Associate / Assistant

    Sevenhills Hospital, Kokilaben Hospital
    02.2015 - 12.2015

    Post Graduate Resident

    Sheri Kashmir Institute of Medical Sciences
    05.2010 - 04.2013

    M.S - Machine Learning

    Liverpool John Moore's University

    Executive Diploma in Machine Learning - Machine Learning

    International Institute of Information Technology

    Fellowship in Advanced Radiation Oncology And Brac - Radiation Oncology

    Rajiv Gandhi University of Health Sciences

    M.D. - Radiotherapy

    Sheri Kashmir Institute of Medical Sciences

    MBBS - Medicine

    Sheri Kashmir Institute of Medical Sciences
    Heeba Altaf Gurku