Open to opportunities

Naina Goel

@nainagoel

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Accomplished healthcare data scientist specializing in AI-driven solutions.

Belgium

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What I'm looking for

I am looking for a role that fosters innovation in AI and healthcare, where I can leverage my expertise to drive impactful solutions and collaborate with like-minded professionals.

I am an accomplished Healthcare Data Scientist with over 6 years of experience in developing AI-driven solutions for precision medicine, clinical workflows, and patient-centric analytics. My deep expertise in genomics, bioinformatics, and biomedical data processing allows me to bridge AI and biology, driving real-world clinical impact. I specialize in large language models (LLMs) such as ChatGPT and LLAMA, deep learning, and computational biology, leveraging unstructured medical data for diagnostics, drug discovery, and personalized treatments.

Throughout my career, I have proven my ability to build scalable AI solutions that enhance patient outcomes and research efficiency. At UCANAI LLC, I developed AI models for healthcare data processing, achieving an 85% improvement in disease risk prediction and enabling 40% faster retrieval of over 1 million patient records. My role as Lead Data Scientist at KULAK involved leading a bioinformatics team to optimize biological data pipelines, processing over 10TB of genomic and proteomic data, and significantly improving computational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist & Machine Learning Expert

Current

UCANAI LLC

Nov 2023 - Present (1 year 7 months)

Developed AI models for healthcare data processing, optimizing EHR structuring, multi-omics data integration, and patient stratification. Improved disease risk prediction by 85% and enabled 40% faster retrieval of 1M+ patient records. Designed ML algorithms for patient risk stratification, achieving 85% accuracy in predicting chronic disease progression and reducing readmission rates by 25%.

EHR Structuring Multi omics Patient Stratification Disease Risk Prediction Algorithms

Lead Data Scientist

KULAK Kortrijk

Nov 2019 - Present (5 years 7 months)

Led a bioinformatics team in developing ML algorithms for clinical trial analytics, reducing time-to-insight for drug efficacy analysis by 30%. Optimized biological data pipelines on Hadoop/GCP, processing 10TB+ of genomic and proteomic data, improving computational efficiency by 25%.

Bioinformatics Algorithms Hadoop GCP Genomics Proteomic Data

Master Internship and Research Project

Pasteur Institute & Centre for Research and Interdisciplinar

Feb 2018 - Present (7 years 4 months)

Developed AI-driven clinical trial analytics, increasing patient outcome prediction accuracy by 25%. Optimized big data pipelines (Hadoop, Spark), reducing processing time by 30%.

AI Driven Clinical Trial Analytics Big Data Pipelines Hadoop Spark Synthetic Biology Outcome Prediction

Education

Degrees, certifications, and relevant coursework

Université Paris Descartes

Master in Interdisciplinary Approaches in Research and Life Science, Interdisciplinary Approaches in Research and Life Science

Focused on interdisciplinary research in life sciences, gaining expertise in AI-driven clinical trial analytics and big data pipeline optimization. Developed AI-driven clinical trial analytics, increasing patient outcome prediction accuracy by 25%.

Indira Gandhi National Open University

Postgraduate Diploma in Applied Statistics, Applied Statistics

Completed a postgraduate diploma focusing on applied statistics. Gained foundational knowledge in statistical methods and their applications.

University of Delhi

Bachelor of Science, Botany

Studied Botany, gaining a strong foundation in biological sciences. Developed a comprehensive understanding of plant biology and related scientific principles.