Prithvi Rajan

Profile

My Journey .

Bioinformatics training, protein-ML projects, docking workflows, and the database engineering background that made me allergic to unreproducible outputs.

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Education

Oct 2024 - Present

M.Sc. Bioinformatics

Freie Universitat Berlin

  • Coursework and project work across protein language models, structural biology, docking, medical bioinformatics, and machine learning.
  • Expected graduation: Oct 2026.
Completed

B.Tech Bioinformatics

Karunya University

  • Built a foundation in biological sciences, bioinformatics, and applied computational thinking.
  • Moved toward computational biology, database systems, and data-driven biomedical workflows.

Experience

October 2025 - Present

Research Assistant

Freie Universitat Berlin

  • Conducting a supervised computational biology research project on protein sequence evolution using protein language models, embedding-based scoring, and reproducible Python workflows.
Jan 2024 - Oct 2024

Data Analyst

Kaiser Permanente

  • Analyzed hospital admission and claims records for healthcare reporting workflows.
  • Built Power BI dashboards and SQL pipelines that improved recurring report turnaround.
Jul 2021 - Jun 2024

Financial Analyst

Havenspire

  • Supported part-time investment-analysis work through market research, financial data review, and reporting.
  • Built a business-facing analysis habit alongside technical database and healthcare-data roles.
Dec 2021 - Jan 2024

Oracle Database Administrator

Accenture

  • Worked across Oracle 11g to 19c migration, SQL optimization, Data Guard, and production reliability.
  • Supported healthcare database operations with attention to data integrity, security, and performance.
Feb 2021 - Sept 2021

IBM DB2 Database Administrator

Accenture

  • Managed high-volume DB2 databases with a focus on performance, reliability, schema design, and secure operations.

Skills

Languages Python, R, SQL / PL/SQL, Bash, JavaScript, HTML/CSS
Workflow Engineering Snakemake, Docker, Linux, conda environments, reproducible reports
Protein ML ESM models, variant-effect scoring, embedding-distance scoring, epistasis, sequence recovery
Structural Biology ESMFold, GNINA, AutoDock Vina, HDOCK-style checks, molecular docking workflows
Data Systems Oracle 11g/19c, IBM DB2, ETL pipelines, query optimization, Data Guard
Analytics Power BI, healthcare analytics, dashboarding, statistical analysis, exploratory visualization
Research Practice controls, leakage checks, artifact trails, version control, reproducible analysis