Open to opportunities

Shweta Jaiswal

@shwetajaiswal

Message

I build clinically informed machine learning models for healthcare diagnostics.

India

Message

What I'm looking for

I'm looking to build clinically meaningful machine learning systems, applying biomedical context and signal-processing experience to improve healthcare diagnostics and reduce high-cost false negatives.

I've built diagnostic machine learning models for cardiovascular risk, lung cancer survival, ECG interpretation, and autonomic nervous system classification. At Unified Mentor, I owned five end-to-end ML pipelines across healthcare and finance, delivering models with approximately 90% accuracy and reports for non-technical reviewers.

My biomedical engineering background informs how I approach clinical signals and prediction trade-offs, especially reducing false negatives in cardiac risk detection. I've published IEEE work on ECG signal processing, hold a patent for ANN-based hypertension and cardiovascular disease detection, and have developed MATLAB-based physiological signal-processing pipelines and SVM classification models.

Experience

Work history, roles, and key accomplishments

Machine Learning Engineer Intern

Unified Mentor

Apr 2025 - Jul 2025 (3 months)

Designed and trained five ML models across healthcare and finance domains, each reaching ~90% accuracy; owned the full pipeline from data ingestion to final evaluation report.

Machine Learning Python scikit learn TensorFlow Keras Pandas NumPy Matplotlib Feature Engineering EDA Hyperparameter Tuning Model Evaluation

Education

Degrees, certifications, and relevant coursework

MGM's College of Engineering & Technology, Mumbai

Master of Engineering, Biomedical Engineering

2015 - 2020

Pursued a Master of Engineering in Biomedical Engineering, with projects including a Voice-Based Vision System and advancements in echocardiography analysis.