Hi there, I am Prachi Sanghvi, a results-driven Software Development Engineer with 4+ years of experience delivering scalable systems, optimizing ML model workflows, and building forecasting solutions for e-commerce and analytics. At Amazon, I led initiatives that improved forecast accuracy and reduced stockouts, enabling millions of orders to be placed efficiently. I enjoy collaborating with cross-functional teams to ship high-quality software and use AI tools to accelerate code generation, data analysis, and documentation. I thrive in fast-paced environments where curiosity, continuous learning, and customer impact drive what I do, and I am always looking for opportunities to apply data-driven approaches to complex business problems. I am passionate about building reliable software and scalable ML-powered solutions that drive business outcomes, and I continually seek opportunities to learn and grow through challenging projects and collaborations.

Prachi Sanghvi

Hi there, I am Prachi Sanghvi, a results-driven Software Development Engineer with 4+ years of experience delivering scalable systems, optimizing ML model workflows, and building forecasting solutions for e-commerce and analytics. At Amazon, I led initiatives that improved forecast accuracy and reduced stockouts, enabling millions of orders to be placed efficiently. I enjoy collaborating with cross-functional teams to ship high-quality software and use AI tools to accelerate code generation, data analysis, and documentation. I thrive in fast-paced environments where curiosity, continuous learning, and customer impact drive what I do, and I am always looking for opportunities to apply data-driven approaches to complex business problems. I am passionate about building reliable software and scalable ML-powered solutions that drive business outcomes, and I continually seek opportunities to learn and grow through challenging projects and collaborations.

Available to hire

Hi there, I am Prachi Sanghvi, a results-driven Software Development Engineer with 4+ years of experience delivering scalable systems, optimizing ML model workflows, and building forecasting solutions for e-commerce and analytics. At Amazon, I led initiatives that improved forecast accuracy and reduced stockouts, enabling millions of orders to be placed efficiently. I enjoy collaborating with cross-functional teams to ship high-quality software and use AI tools to accelerate code generation, data analysis, and documentation. I thrive in fast-paced environments where curiosity, continuous learning, and customer impact drive what I do, and I am always looking for opportunities to apply data-driven approaches to complex business problems.

I am passionate about building reliable software and scalable ML-powered solutions that drive business outcomes, and I continually seek opportunities to learn and grow through challenging projects and collaborations.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Software Development Engineer at Amazon
December 1, 2023 - Present
Architected a scalable stateful model replayer for multi-week demand simulations, influencing millions of daily orders and cutting testing time by 70%. Launched a purchase order forecasting service for 35,000+ SKUs in India, improving accuracy by 80% and reducing stockouts by 35%. Analyzed forecast accuracy from 48% to 86% for high-demand SKUs by identifying bottlenecks across services. Accelerated project delivery by 50% (3 months → 1.5 months) by leveraging AI tools to streamline code generation, data analysis, and documentation. Streamlined deployments with CI/CD pipelines using AWS CodePipeline, reducing incident resolution by 30%.
Data Analyst at ARCON Tech Solutions
June 1, 2019 - August 1, 2021
Built ETL pipelines to migrate production data to staging warehouse, improving reporting speed by 80%. Increased user engagement by 90% via analytics-driven insights and market trend analysis. Reduced bug resolution time by 25% through root cause analysis and close collaboration with engineers. Authored technical requirements and documentation for on-time release in all sprints.

Education

M.S. in Engineering Management at Northeastern University
January 11, 2030 - May 1, 2023
B.Tech in Computer Science Engineering at Mumbai University
January 11, 2030 - May 1, 2019

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Retail, Media & Entertainment