Vatsal Raj
@vatsalraj
Operations Research Engineer building optimization-driven, real-time decision systems with AI, forecasting, and dashboards.
United StatesWhat I'm looking for
I’m an Operations Research Engineer with hands-on experience developing mathematical optimization models, automating decision-making pipelines, and integrating multi-source data for business-critical applications. I’ve built IoT-enabled logistics optimization for coffee keg deliveries, engineering a MILP delivery assignment engine and time-series forecasting that improved route efficiency, reduced fuel use by 30%, and maintained 100% on-time delivery. I also developed a Python-driven JIT replenishment algorithm using sensor data, reducing stockouts by 38% and optimizing refill cycles.
Across domains, I focus on practical analytics that operators can use immediately—like interactive Power BI dashboards and scalable system blueprints for expansion. I’ve also automated high-impact operations workflows using LLM-powered NLP, OCR + LLM extraction with 92% accuracy, and SQL/API-driven processing of 33K+ IT support tickets to enable data-driven root-cause analysis. In R&D, I’ve delivered Markov Chain preventive maintenance models (18% uptime gain) and high-precision measurement pipelines for image/velocimetry systems, combining rigorous modeling with deployable engineering.
Experience
Work history, roles, and key accomplishments
Data Analyst
Boston Brew Co
Mar 2025 - Present (1 year 3 months)
Designed and deployed an IoT-enabled logistics optimization system for coffee keg deliveries, enabling real-time routing decisions for supply teams. Built MILP-based delivery assignment and time-series forecasting models that improved route efficiency and reduced fuel use by 30% while maintaining 100% on-time delivery.
Software Designer
Riddle Technologies
Feb 2025 - Present (1 year 4 months)
Automated invoice generation and reconciliation with an LLM-powered NLP pipeline, cutting billing cycle time from 8 weeks to 1 week and reducing manual effort by 75%. Built an OCR + LLM framework to extract structured invoice data with 92% accuracy and used SQL with the Autotask API to classify 33K+ IT support tickets for root-cause analysis.
R&D Data Analyst
Ducom Instruments
Jan 2022 - Dec 2022 (11 months)
Designed and simulated preventive maintenance policies using Markov Chain models, increasing machine uptime by 18%. Developed queuing and resource allocation models to optimize electromechanical testing workflows, improving throughput and reducing test bottlenecks.
Research Engineer
Ducom Instruments
Jun 2020 - Apr 2021 (10 months)
Engineered a camera-based photo/image velocimetry system for micro-particle velocity measurement with ±3–5% error (95% confidence), delivering an end-to-end processing pipeline with automated JSON reporting and uncertainty estimation. Prototyped a 6-DOF force/angle sensing end-effector using Stewart-platform inversion with strain gauge arrays, achieving ≤1.5° RMS directional error and ≤4% magnitud
Education
Degrees, certifications, and relevant coursework
Northeastern University
Master of Science in Operations Research, Operations Research
2023 - 2024
Earned a Master of Science in Operations Research at Northeastern University from 2023 to 2024.
R.V. College of Engineering
Bachelor of Engineering in Mechanical Engineering, Mechanical Engineering
2016 - 2020
Completed a Bachelor of Engineering in Mechanical Engineering at R.V. College of Engineering from 2016 to 2020.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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