Prerita Odeyar
Bentonville,AR
Summary
Reliability and asset management professional with 7+ years of experience driving operational transformation, predictive maintenance, and AI-enabled maintenance optimization across mining, heavy equipment, and industrial environments. Proven track record delivering measurable business impact through reliability engineering, asset lifecycle optimization, supply chain analytics, and stakeholder collaboration. Experienced in translating complex operational data into actionable maintenance strategies, executive dashboards, and continuous improvement initiatives. Relocated to Bentonville recently and do not require sponsorship.
Overview
8
8
years of professional experience
Work History
Reliability Engineer - Project Lead
Finning Caterpillar
British Columbia, Canada
02.2023 - 07.2025
- Loss Elimination & Strategy: Led an end-to-end AI-driven supply chain and Spare Parts Optimization initiative for large-scale operational assets and identified $12M in production excess and eliminated process delays across distribution nodes.
- On-Site Leadership & Safety: Spearheaded data-driven performance projects on-site using IBM Maximo work order data, combining data science with operational analytics to maximize asset PA and utilization safely identifying 7% loss due to spare parts demand and shortage issues.
- Vendor & Contract Management: Managed vendor contracts and coordinated with maintenance teams to guarantee strict SLA compliance using PowerBI dashboards.
- Optimization & Performance: Implemented a MILP optimization framework to streamline procurement, coordinate cross-functional labor scheduling, and analyze fleet performance, driving a 5% increase in equipment availability.
- Forecasting & KPI Management: Developed time-series models leveraging operational utilization data to accurately forecast demand and maintenance cycles, mitigating stock-out risks and process deviations.
- Standard Work & Decision Support: Translated complex fleet performance and utilization models into intuitive Power BI dashboards to establish standard work tracking and facilitate executive-level KPI decision-making.
- Business Development: Successfully identified and pursued additional opportunities by leveraging data analytics to provide equipment availability solutions by continuously evaluating asset usage and performance gaps.
Graduate Research Assistant - Project Lead
North American Construction Group
Alberta, Canada
02.2020 - 11.2022
- Client Governance & Strategy: Coordinated cross-functionally with NACG operations, maintenance teams, and external suppliers to review fleet productivity, aligning multi-party stakeholders around asset hydraulic performance and operational efficiency.
- Vendor Evaluation Framework: Engineered a proprietary vendor scoring framework utilizing ANOVA, pre/post-installation reliability modeling, cost-benefit analysis, and failure frequency tracking to assess third-party filtration performance.
- Strategic Advisory & Design: Aggregated KPIs into a weighted-significance model to advise executive leadership, successfully influencing vendor engineering decisions to modify filter magnetic capacity and physical placement.
- Predictive Modeling & Financial Impact: Developed advanced machine learning models using KNN and Naive Bayes with 0.89 accuracy to identify successive downstream hydraulic failures, pivoting teams to proactive maintenance and delivering $4M in annual cost avoidance.
- Process & Data Integration: Architected a continuous health-monitoring framework by merging IoT telemetry with failure work orders records to streamline asset lifecycle management and reduce operational friction.
Business Analyst
LatentView Analytics
Chennai, India
09.2017 - 08.2019
- Operational Strategy: Partnered cross-functionally with a global e-commerce firm to identify $2M in revenue opportunities through customer journey mapping, churn analysis, and performance metric evaluation.
- Process Refinement: Recognized for optimizing existing analytical logic and proactively establishing technical standards that increased team productivity and standard work output in high-pressure environments.
- Market Intelligence: Utilized ARIMA and LSTM models to evaluate product lifecycles and identify shifts in demand intent for automotive sector clients.
Education
Master of Science - Reliability Engineering (Applied Analytics)
University of Alberta
Edmonton, Canada11-2022
Bachelor of Science - Mining Engineering
National Institute of Technology, Karnataka
Surathkal, India05-2017
Skills
Reliability & Asset Management
Reliability Engineering, Predictive Maintenance, Asset Lifecycle Management, RCA, RCM, Failure Analysis, KPI Management, Maintenance Strategy Optimization
Operational Excellence & Transformation
Process Improvement, Lean/Six Sigma, Supply Chain Optimization, Vendor & SLA Management, Continuous Improvement, Cross-Functional Ownership, Executive Reporting
Analytics & AI
Predictive Modeling, Demand Forecasting, Machine Learning, LLM Applications, Weibull Analysis, Statistical Modeling, MILP Optimization, Time-Series Forecasting
Tools & Technologies
Python, SQL, Power BI, Tableau, IBM Maximo, GCP (BigQuery, Airflow), Snowflake, Hadoop, Advanced Excel
Publications
Odeyar, P. (2022). A Review of Reliability and Fault Analysis Methods for Heavy Equipment and Their Components Used in Industry. MDPI Journal of Applied Sciences.
Odeyar, P. (2026, submitted). Optimizing Spare Parts Inventory to Enhance Equipment Availability. Focuses on downtime mini mization and cost optimization for industrial fleets.
Odeyar, P. (2026, submitted). Machine Learning Framework for Predicting Hydraulic System Failures in Industrial Equipment. Explores data driven approaches for failure risk forecasting
Timeline
Reliability Engineer - Project Lead
Finning Caterpillar
02.2023 - 07.2025
Graduate Research Assistant - Project Lead
North American Construction Group
02.2020 - 11.2022
Business Analyst
LatentView Analytics
09.2017 - 08.2019
Master of Science - Reliability Engineering (Applied Analytics)
University of Alberta
Bachelor of Science - Mining Engineering
National Institute of Technology, Karnataka