Apeksha Hegde is a Business Analyst and computer engineering student with five years of hands-on experience in full-stack development, data engineering, and NLP research. She blends competitive programming roots in Java and C++ with practical data science work—building data visualizations, feature engineering pipelines, a custom PyPI package, and a scraped anime dataset used for analysis. Her industry experience includes risk analysis and fraud detection workflows at InCred, scraping and ETL automation with Go/Python and AWS Lambda at Kelp, and front-end work in React for health-tech products. Apeksha is also an experienced mentor who guided 100+ contributors in open-source through GirlScript and GWoC, showing a strong commitment to teaching and community impact. Known for learning-by-doing, she brings a rare combination of algorithmic rigor, production scraping/ETL skills, and an eye for translating data into business insights.
4 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 9.57, Bachelor of Technology - BTech, Computer Science, 9.57 at KJ Somaiya College of Engineering, Vidyavihar
to learn how to do pull request and do contribution to other's repo
Role in this project:
Full-stack Developer
Contributions:9 commits, 3 PRs, 3 comments in 1 day
Contributions summary:Apeksha's contributions primarily involve implementing and modifying code in multiple languages, including Java, C, and C++, demonstrating a wide range of coding skills. They have created and updated various programs, such as a Java program for calculating player statistics using jagged arrays and C and C++ programs implementing algorithms such as binary search and restoring division. Furthermore, the user has shown proficiency in applying the IEEE 754 floating-point representation, which demonstrates a deep understanding of computer architecture.
Contributions:31 commits, 7 PRs, 30 pushes in 18 days
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