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Pyanshi Kandhari

@pyanshikandhari

Computer science undergraduate building interpretable machine learning pipelines and data analytics platforms with Python and SQL.

India

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What I'm looking for

I'm interested in building interpretable machine learning solutions and applying data-driven techniques to real-world problems.

At the AICTE Internship – IIT Jammu, I analyzed auxiliary power consumption with Python, SQL, and Excel to identify battery-efficiency improvement opportunities. I also developed Power BI dashboards to monitor auxiliary load, battery usage, and vehicle energy performance.

I designed NeuroAssist, an EEG-based machine learning pipeline for cognitive-state classification, using signal preprocessing and frequency-domain feature extraction. I applied Random Forest and SHAP-based Explainable AI to evaluate predictions and interpret feature contributions.

I also developed PharmaSupply Guardian, an analytics platform for medicine inventory, expiry risks, supplier performance, and potential drug shortages. Its Power BI dashboards support inventory monitoring, supplier analysis, and identification of pharmaceutical supply-chain risks.

Experience

Work history, roles, and key accomplishments

Campus Finalist

Hult Prize

Jan 2025 - Dec 2025 (11 months)

Developed and pitched a social-impact business idea focused on promoting Kashmiri artisans and their products. Cleared the campus round through problem identification, solution development, and business pitching.

Business Pitching and Critiquing Problem Solving Social Impact

AICTE Internship

IIT Jammu

Jan 2025 - Dec 2025 (11 months)

Analyzed auxiliary power consumption using Python, SQL, and Excel to identify battery-efficiency improvement opportunities. Developed Power BI dashboards to monitor auxiliary load, battery usage, and vehicle energy performance.

Python SQL Excel Power BI Data Analysis