Skills & Technical Competencies

• Machine Learning & AI: Supervised/unsupervised learning, GNNs, CNNs, U-Net, interpretable ML, CDS, feature engineering.
• Programming: Python (pandas, NumPy, scikit-learn, PyTorch), R, SQL, Bash.
• Data Engineering: ETL pipelines, data extraction and transformation, GitHub Actions, Snakemake.
• Visualization & BI: Power BI, Tableau, matplotlib, seaborn, interactive dashboards.
• Healthcare Data: EHR systems, HL7/FHIR, ICD-10/CPT, multi-modal clinical datasets, HIPAA compliance.
• Statistics: Biomedical statistics, AUROC analysis, Dice coefficient, regression, hypothesis testing.

Languages

English (Professional), Hindi (Native/Bilingual), Italian (Intermediate).

Interests

Cricket, Ping Pong, Classical Music, Science Podcasts, Technology News.