MALEEHA BHAT

Dynamic Reliability Engineer with a proven track record at Valeo, excelling in statistical analysis and R/Shiny application development. Spearheaded innovative reliability assessments, achieving over 75% savings in testing efficiency. Expert in warranty management and risk assessment, driving global standardization initiatives and enhancing product performance through data-driven insights.

• Binomial Reliability Test Planner: Built an interactive R Shiny app that designs & analyses Zero-Failure Tests (ZFT). Accepts field-failure times and instantly computes sample size, test duration, confidence C, and demonstrated reliability R(t) using the cumulative binomial law. Handles both non-parametric (distribution-free) and parametric Weibull extensions (user-selectable β, lifetime ratio, acceleration factor). Iterates across candidate plans, flags over-/under-testing, and recommends the minimum-cost plan that still meets reliability & confidence targets. Auto-generates plots of confidence curves, safety-factor impacts, and what-if dashboards that translate heavy stats into clear engineering decisions. Includes annotated code walk-throughs, illustrating each equation step-evidence of my ability to teach algebra, geometry, calculus, and statistics concepts in plain language.
• Warranty Return Prediction Tool: Built an end-to-end app that forecasts warranty returns. Ingests field-failure data and fits 2- and 3-parameter Weibull models, using a hybrid R² + maximum-likelihood estimator to determine η, β, γ. Ranks models by AIC, BIC, and log-likelihood, automatically selecting the best fit and preventing over- and underfitting. Delivers intuitive dashboards (confidence bonds, cumulative returns, what-if scenarios) for engineers and managers. Wrote clear documentation and code walk-throughs. Cut manual analysis time by 80 % and improved forecast accuracy relative to legacy spreadsheets

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