Aravindh Manavalan

Work Experience

Jun 2025 - Present

Identified and implemented a production process change that reduced installation cycle time by 70% and enabled over $1M in annual savings from productivity gains, winning the company Shark Tank (organizational and executive vote).
Built reusable analytics workflows and self-serve tools (including a text-to-SQL AI agent) that enabled non-technical stakeholders to access market and performance insights faster.
Automated Consumer New Vehicle Survey visualization with a Polars-based data pipeline and Excel model, replacing manual workflows and accelerating product pricing decisions.
Prepared and presented competitive analysis reports to senior leadership and executives for IAA Mobility 2025 and LA Auto Show, informing data-driven marketing plans and vehicle design decisions.

Jan 2025 - Jun 2025

Created reports on utility spending and quantified savings from energy efficiency measures.
Designed a database schema for building, meter, energy-use, and financial data to support a virtual campus energy model.

Aug 2022 - Jul 2024

Led product ownership of a tech talent survey analytics pipeline, defined requirements, designed ETL workflows and Tableau dashboards, and tracked outcomes across 20+ client projects.
Cut report delivery time by over 90% by building a custom Python application to automate recurring analytics report generation.
Deployed a Mixed Integer Programming optimization tool that informed initiative prioritization decisions across 5 McKinsey RTS studies.

Dec 2020 - Jul 2022

Overhauled database setup and ETL pipelines for ITSM datasets across 10+ client transformations, adding KPIs and statistical analysis that supported client productivity improvements.
Delivered IT cost optimization recommendations on the "Ignite" diagnostic product, including talent hiring strategy and the case for helpdesk automation through RPA.
Reduced data preparation costs by 65% by automating ITSM data cleaning with Alteryx workflows, cutting turnaround time by 80%.

Jan 2020 - Nov 2020

Automated ITSM analysis with Alteryx workflows, reducing turnaround time by 80% and lowering data preparation cost versus manual Excel workflows.
Worked as a business analyst for an internal web application by gathering requirements with stakeholders and helping run UAT sessions.

Capstone project to improve SQL error correction with an LLM-based workflow for PostgreSQL.

Defined the architecture and built an LLM scaffolding that improves SQL error correction through a custom database toolkit, improving baseline performance by 6% on the BIRD-CRITIC benchmark.

Serverless analytics pipeline for e-commerce events using AWS and Spark.

Built a serverless medallion pipeline processing 500K+ e-commerce events on hourly and daily cadences, with pre-aggregated tables for faster downstream analysis.

Computer vision pipeline for counting birds in a conservation use case.

Built a multi-stage pipeline using YOLOv11, SAM2, and custom trajectory tracking.
Developed for the Courtenay Museum's Vaux's Swift conservation project.
Reached over 90% accuracy in low and medium traffic scenarios.

Statistical study on how business responses are associated with review activity.

Analyzed 760K+ Google reviews using matched treatment/control groups and paired t-tests; businesses that responded to reviews were associated with 9 additional reviews on average versus non-responders.

Web app that generates quizzes from prompts and documents using LLMs.