
pranjali patil
@pranjalipatil
I turn complex datasets into reliable insights, reports, and predictive analytics.
What I'm looking for
At the University at Buffalo, I collect, clean, and validate biological datasets from PDB and CASP sources, then build data pipelines and scoring models that help research teams evaluate protein-structure prediction quality. I translate raw structural data into actionable comparisons, visualizations, and clearly documented findings for faculty and research collaborators.
I've also built Python data-processing services at Winsoft Technologies and analyzed business datasets at Varcons Technologies. Across churn prediction, document intelligence, and large-scale retrieval projects, I use SQL, Python, data validation, KPI tracking, model evaluation, and reporting to support data-driven decisions.
Experience
Work history, roles, and key accomplishments
Research Assistant Volunteer
University at Buffalo
Mar 2026 - Present (6 months)
Collected, cleaned, and validated large biological datasets from PDB/CASP sources, resolving missing and inconsistent data. Built an end-to-end data pipeline and analytical scoring model to evaluate prediction quality, and documented methodology for stakeholders.
Education
Degrees, certifications, and relevant coursework
University at Buffalo
Master of Science, Engineering Science
2024 - 2025
Pursuing a Master of Science in Engineering Science with a focus on Artificial Intelligence.
K.L.E. Institute of Technology
Bachelor of Engineering, Computer Science
2020 - 2024
Earned a Bachelor of Engineering in Computer Science.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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