Hi, I’m Meghana Thimmaiah, a data-driven analyst and engineer with 5+ years of experience crafting scalable data pipelines and actionable insights across supply chain, logistics, and automotive domains. I design and deliver governance-focused, ML-ready datasets and dashboards that empower executives and field teams to make reliable, data-backed decisions at scale. I thrive on collaborating with stakeholders, translating business needs into robust analytics, and continually improving data quality, automation, and reporting. I enjoy solving complex data challenges—from ETL and data modeling to KPI development and explainable ML—while keeping a strong eye on security, governance, and reproducibility. I’m actively seeking opportunities to contribute to high-impact data initiatives and expand my capabilities in cloud-scale analytics and AI-enabled decision support.

Meghana Thimmaiah

Hi, I’m Meghana Thimmaiah, a data-driven analyst and engineer with 5+ years of experience crafting scalable data pipelines and actionable insights across supply chain, logistics, and automotive domains. I design and deliver governance-focused, ML-ready datasets and dashboards that empower executives and field teams to make reliable, data-backed decisions at scale. I thrive on collaborating with stakeholders, translating business needs into robust analytics, and continually improving data quality, automation, and reporting. I enjoy solving complex data challenges—from ETL and data modeling to KPI development and explainable ML—while keeping a strong eye on security, governance, and reproducibility. I’m actively seeking opportunities to contribute to high-impact data initiatives and expand my capabilities in cloud-scale analytics and AI-enabled decision support.

Available to hire

Hi, I’m Meghana Thimmaiah, a data-driven analyst and engineer with 5+ years of experience crafting scalable data pipelines and actionable insights across supply chain, logistics, and automotive domains. I design and deliver governance-focused, ML-ready datasets and dashboards that empower executives and field teams to make reliable, data-backed decisions at scale. I thrive on collaborating with stakeholders, translating business needs into robust analytics, and continually improving data quality, automation, and reporting.

I enjoy solving complex data challenges—from ETL and data modeling to KPI development and explainable ML—while keeping a strong eye on security, governance, and reproducibility. I’m actively seeking opportunities to contribute to high-impact data initiatives and expand my capabilities in cloud-scale analytics and AI-enabled decision support.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Data Analyst at Gainsystems
January 1, 2025 - Present
Delivered scalable, data-driven supply-chain forecasting by building production-grade ML pipelines and governing data models; implemented cloud-native ETL solutions on DataBricks. Ingested demand data from multiple ERP systems into Bronze, Silver, and Gold Delta tables, standardizing data for forecasting. Built enterprise Power BI dashboards to track KPIs, trend analysis, and executive reporting. Implemented parameterized recurring ML/ETL jobs to support multiple clients with a single framework. Managed ML demand-forecasting pipelines, including model training, batch predictions, and SHAP explainability, integrating outputs with reporting tables. Ensured secure data access via Databricks Secret Scopes and Azure Key Vault.
Data Analyst / Data Engineer at Continental Engineering Services
February 1, 2023 - December 31, 2023
Led an Enterprise Operational & Delivery Risk Analytics Platform, centralizing data from multiple internal sources to monitor risk across 600+ automotive programs. Built KPI-driven analytics dashboards and standardized operational, delivery, and compliance metrics. Designed end-to-end ETL pipelines ingesting structured data into AWS S3 for analytics, and created executive dashboards in Power BI. Implemented governance around data quality and security, enabling reliable leadership reviews and risk mitigation planning.
Data Engineer / Data Analyst at Bosch Global Software Technologies
May 1, 2020 - January 31, 2023
Developed ECU test data consolidation and analysis capabilities by parsing and normalizing diagnostic logs, CAN data, and test executions. Aggregated data across builds to identify recurring failures and high-risk components. Built end-to-end ETL pipelines (Python/SQL) to ingest structured data into AWS S3, created QA data quality checks, and developed Power BI dashboards to visualize defect density, failure rates, and test coverage. Also led ASPICE-compliant data integration efforts and maintained data lineage to support audits.
Software Engineer at Freelance / Automotive Clients (Fiat, Ford, Tata Motors)
August 1, 2018 - April 30, 2020
Implemented Python-driven test automation, functional testing, and HIL validation to improve test coverage, reliability, and system robustness across ECU programs. Automated regression and system-level tests using Python scripts; performed debugging with UDE and TRACE32 to enhance test reliability and reduce manual effort.

Education

Master of Science in Computer Science (Concentration: Data Science) at Illinois Institute of Technology, Chicago, IL
January 1, 2024 - December 31, 2025
Bachelor of Engineering in Electronics & Communication Engineering at BMS Institute of Technology & Management, Bangalore, India
July 1, 2014 - May 1, 2018

Qualifications

Databricks Fundamentals Accreditation
January 11, 2030 - January 16, 2026
Microsoft Certified: Data Analyst Associate with Power BI
January 11, 2030 - January 16, 2026
Digital Marketing Analytics Internship
January 11, 2030 - January 16, 2026
Spot Award - Gainsystems
January 11, 2030 - January 16, 2026
Bravo Award - Gainsystems
January 11, 2030 - January 16, 2026

Industry Experience

Manufacturing, Software & Internet, Transportation & Logistics, Professional Services, Other