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Prachi Gudekar User

@prachigudekaruser

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I turn reliability and customer-review data into predictive models and actionable dashboards.

India

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What I'm looking for

I'm looking for an opportunity to apply Python, SQL, predictive modeling, and data visualization to solve real business or engineering problems while growing in data analytics and AI-driven decision-making.

I conducted reliability and failure analysis at Henkel Adhesives Technologies India, evaluating torque retention and failure behavior across 100 observations and 10 test configurations. I applied Weibull and Kaplan–Meier analysis, FMEA, FTA, K-Means clustering, and machine-learning models, with Random Forest delivering the strongest performance.

I've also analyzed 67,992 Amazon product reviews across 125 products, using Python to clean data, TextBlob and TF-IDF to surface sentiment and customer themes, and Power BI to build a three-page interactive dashboard. The work identified products with elevated negative-review rates while highlighting top product performance.

As a Mechanical Engineering graduate with a Minor in Artificial Intelligence and Machine Learning, I bring Python, SQL, statistical analysis, predictive modeling, and data visualization to practical business and engineering problems.

Experience

Work history, roles, and key accomplishments

Project Intern - Reliability & Data Analytics

Henkel Adhesives Technologies India Pvt. Ltd.

Mar 2026 - Apr 2026 (1 month)

Conducted data-driven reliability and failure analysis of M5 Allen bolt threadlocking adhesive assemblies, evaluating torque retention and failure behavior across 100 observations spanning 10 test configurations using statistical and machine learning techniques. Applied Weibull and Kaplan-Meier analysis, FMEA, FTA, and K-Means clustering, and developed Random Forest, SVR, KNN, and Polynomial Regre