# Saumya Parikh

> Software Engineer

Location: Brooklyn, New York, United States
Profile: https://flows.cv/saumyaparikh

## Work Experience
### Software Engineer @ Google
Jan 2022 – Present | New York, New York, United States

### Full Stack Developer @ Canoe
Jan 2021 – Jan 2022 | New York, New York, United States

### Full Stack Developer @ BRKFST.IO
Jan 2020 – Jan 2021 | Greater New York City Area

### Full Stack Developer @ WITHIN
Jan 2018 – Jan 2021

### Developer/Analyst Intern @ Bio-Rad Laboratories
Jan 2017 – Jan 2017 | Hercules, California
Worked cross-functionally with the Life Science team to assess return on investments of different projects and campaigns.
Developed an end-to-end automated pipeline to extract, integrate and present data from multiple sources to monitor daily campaign performances, and make strategic marketing decisions.
Built a scraper to extract results from the knowledge panels of search engines like Google, Bing, DuckDuckGo and Yahoo to validate raw user input data that improved integration with legacy sources like BAAN by 45%.
Designed and implemented a solution to attribute cumulative revenues from SAP data to customers and campaigns in Salesforce tables and attained close approximations of campaign ROIs.
Tech Stack: Python, Pandas, Flask, MySQL, Hadoop HDFS, Impala, MS Azure, Power BI, JavaScript.

### Analyst Intern @ Media iQ Digital Ltd
Jan 2016 – Jan 2016 | Karnataka, India
Collaborated with data scientists and developers to optimize ad campaign performances, and report insights to traders and clients.
Built an automated batch data pipeline using Appnexus APIs to collect user information via tracking pixels and store it in S3 containers, providing analysts data to build custom audience segments and improve targeting.
Compiled and analyzed A/B testing results to create custom audience segments based on demographics and geography, which increased the click-through and conversion rates for various campaigns.
Improved campaign performances by 30-50% by performing exploratory data analysis, and implementing logistic regression and decision tree classification on existing performance data to get audience overlaps and market trends.
Tech Stack: PostgreSQL, Python, Scikit-learn, Redshift, Hadoop, Java Spring, MS Excel, AWS S3.


## Education
### Master's degree in Computer Science
Arizona State University
Jan 2016 – Jan 2018

### Bachelor's Degree in Computer Engineering
Nirma Institute Of Technology
Jan 2012 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/saumya-parikh
- Website: https://saumya1510.github.io/portfolio

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Source: https://flows.cv/saumyaparikh
JSON Resume: https://flows.cv/saumyaparikh/resume.json
Last updated: 2026-03-23