
Srinidhi Rajeshwarkar
@srinidhirajeshwarkar
I turn SQL, Python, and Power BI data into actionable business insights and predictive models.
What I'm looking for
I've analyzed telecom churn and e-commerce data using SQL, Python, and Power BI, cleaning thousands of records and turning them into actionable insights. My churn model identified 378 at-risk customers, while my e-commerce analysis estimated ₹22.4L in inventory revenue.
As a Medical Annotator R&D Intern at My Health Notion, I reviewed biomedical literature, extracted clinical information, and maintained accurate structured documentation. With an M.Sc. in Bioinformatics, I bring research rigor, data analysis, and visualization skills to entry-level data analyst roles.
Experience
Work history, roles, and key accomplishments
Medical Annotator (R&D Intern)
My Health Notion
Aug 2025 - Nov 2025 (3 months)
Reviewed biomedical and clinical research literature to extract relevant information on specific health conditions. Curated and structured medical content into standardized documentation formats, cross-verifying clinical details against credible sources.
In Silico Study on Drug Resistance in Lung Cancer
Academic Research Project
Screened a library of 2,050+ FDA-approved compounds against target protein METTL7B using PyRx and Schrödinger Maestro, narrowing to top 100 ligands by binding affinity. Validated protein structural quality and identified top-hit inhibitor candidates.
Education
Degrees, certifications, and relevant coursework
JSS Academy of Higher Education and Research
Master of Science, Bioinformatics
2022 - 2024
Grade: 8.0/10
Pursued M.Sc. in Bioinformatics with a cumulative GPA of 8.0/10.
St. Ann's College for Women
Bachelor of Science, Biotechnology, Biochemistry, Chemistry
2019 - 2022
Grade: 7.9/10
Completed B.Sc. in Biotechnology, Biochemistry, and Chemistry with a cumulative GPA of 7.9/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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