Hi, I’m
Yash Negi
Summary
Losing my grandmother to cancer before coming to the U.S. ignited my mission to harness AI for life-saving solutions in oncology. Drawing on specialized coursework (Johns Hopkins, Harvard) and ongoing research at Yeshiva University, I create data-driven frameworks for cancer detection and analysis. From daily LinkedIn articles to hands-on projects, I strive to advance healthcare by blending machine learning with compassionate care.
Overview
1
years of professional experience
3
Certification
Work History
Yeshiva University
Student
01.2024 - Current
Job overview
- Cancer-Focused Chatbot : Co-developed a disease detection chatbot (“SympCheck”) by integrating NLP models to assess potential cancer symptoms, culminating in a Heroku deployment for real-world user testing.
- Data-Driven Insights : Conducted exploratory data analysis (EDA) on diverse cancer-related datasets, applying foundational statistical methods to uncover early detection factors.
- Model Enhancement : Built and optimized classification models with Scikit-Learn, evaluating performance metrics (F1, ROC AUC) to boost accuracy in healthcare data contexts.
- Kaggle Competitions : Leveraged domain-specific feature engineering and predictive modeling techniques on cancer-related challenges and general competitions (e.g., Titanic survival prediction) to sharpen ML skills.
Sage University
Student Researcher
03.2021 - 05.2021
Job overview
- Cloud Practitioner Mentorship : Guided five students through cloud computing projects and hands-on practices; facilitated their successful AWS Cloud Practitioner certifications.
- Azure Data Project : Spearheaded a major initiative on Azure Data Pipelines—focusing on ingestion, transformation, and integration in Azure Data Factory—to enable large-scale data processing for early disease detection research.
- ETL Workflows : Built robust, automated pipelines to handle disparate biomedical data sources; harnessed these curated datasets for subsequent ML model refinement.
- Real-World Context : Demonstrated practical cloud infrastructure use in AI/ML projects, reinforcing students' understanding of how consistent data workflows inform healthcare machine learning solutions.
Education
Yeshiva UniversityNew York, NY
Masters from Artificial Intelligence
12.2025
University Overview
- Focused on advanced machine learning, deep learning, and data science techniques
- Collaborated on research projects applying AI solutions to real-world problems
Sage UniversityIndore, India
Bachelors in Computer Science from Computer Science With Cloud Computing As Major
12-2022
Skills
- Machine Learning
- Python
- Aws and Azure
- Statistics
- Natural Language Processing
- Deep Learning
- imaging modalities
Accomplishments
Co-author : “Big Data for Smart Energy” (CRC Press, 2021)
Certification
Azure Az-104
Oracle Certified
John Hopkins University Cell Biology
Languages
Hindi
Native or Bilingual
English
Full Professional
Interests
Badminton, fitness, chess, table tennis
Timeline
Student
Yeshiva University
01.2024 - Current
Student Researcher
Sage University
03.2021 - 05.2021
Yeshiva University
Masters from Artificial Intelligence
Sage University
Bachelors in Computer Science from Computer Science With Cloud Computing As Major
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