CV
Contact Information
| Name | Samar Josyula |
| [email protected] |
Professional Summary
Administrative and data-focused professional with experience in high-accuracy documentation, deadline driven workflows, and cross-team coordination in healthcare and analytics settings. Known for detail-oriented recordkeeping, documentation management, and consistent protocol follow-through.
Experience
-
May 2024 - June 2025 Pittsburgh, PA
Patient Care Technician
UPMC Montefiore
- Supported a 36-bed acuity adaptable, med-surg unit in a fast-paced unit, prioritizing time-sensitive tasks and maintaining accuracy while coordinating with multidisciplinary staff
- Maintained clear, compliant documentation and adhered to established policies/procedures while handling sensitive information with discretion and professionalism
- Executed detail-critical procedures (e.g., phlebotomy, EKG administration), verifying identifiers, following protocols, and reducing error risk under pressure while delivering consistent service to a diverse population with complex needs
-
May 2023 - Aug 2023 Washington, D.C.
Data Analyst Intern
MedStar Health
- Supported a deadline-driven analytics project focused on maternal health risk identification, requiring consistent accuracy and careful handling of sensitive information.
- Consolidated and standardized complex inputs into structured records to improve completeness and usability for possible courses of action.
- Built and maintained reproducible workflows in Python and R to organize data, generate summaries, and support clear reporting.
Education
-
- Exp. May 2027 Pittsburgh, PA
B.S.
University of Pittsburgh
Computational Biology
Skills
Projects
-
LLM4DD
Developed automated data processing and analysis tools for computational biology research. Built reproducible workflows for handling large biological datasets with focus on maternal health risk identification and genomic data analysis.
- Python and R programming for data preprocessing and statistical analysis
- Implemented machine learning models using PyTorch for predictive analytics
- Created data visualization dashboards using Pandas, NumPy, and Matplotlib
- Developed reproducible workflows for handling sensitive healthcare data
Literature
-
Mar 2025 LLM Integration into in silico PGCC Inhibitor Discovery
Structured scientific literature review investigating the possible integration of large language models into modern ML pipelines for polyploid giant cancer cell (PGCC) inhibitor discovery. Inhibitory evalutation for possible future drug discovery, based on the LLM4SD framework provided by Zheng et al. (2025).