ashwini jivne

Python Full Stack Developer

Somaiya Vidyavihar University•  August 2023 - Present•  mumbai

As part of a team that develops and maintains the official website of Somaiya Vidyavihar University, I have developed new modules, added features, and debugged several modules to resolve production errors in https://myaccount.somaiya.edu/.

Python Developer

NSEIT, Mumbai•  February 2022 - July 2023•  Mumbai

I played a crucial role in the team that achieved success by developing a real-time payout project within the insurance domain, leading to a substantial 70-80% reduction in manual work for the QA team. Our achievement was made possible by leveraging Python, Pyramid, NumPy, Panda's libraries, and the effective application of object-oriented programming (OOP) concepts. • I demonstrated effective error management in production, particularly during critical month-end periods and on a routine basis, resulting in a notable 60-70% reduction in errors. Additionally, I consistently enhanced the codebase to meet client requirements, proactively addressing errors, defects, and seamlessly integrating new insurance products into the existing system. • I played a vital role in the team that successfully developed the initial phase of the Product Tracker System project using Django. This system is intricately designed to monitor and record various phases of a product, errors, exceptions, and more. The implementation of this system aims to achieve a substantial reduction in manual work related to storing data in Excel sheets and efficiently keeping track of it. • I was honored with the Bravo Award for my exceptional contribution to a real-time payout process that significantly enhanced productivity, as evidenced by positive client feedback.

Junior Python Developer

Maxgen Technology Mumbai•  December 2020 - February 2022•  Mumbai

I have demonstrated leadership by managing and providing training to interns in Python and machine learning algorithms. Additionally, I executed comprehensive data-related tasks, including data cleaning, analysis, preprocessing, modeling, and evaluation, employing a range of libraries such as scikit-learn, NumPy, Pandas, Matplotlib, and Python loops. Furthermore, I expanded my expertise by developing basic APIs in Django, adhering to the Model-View-Template (MVT) architectural pattern.