Nexdegree, a specialist in data-centric applications for businesses of all scales, seamlessly integrated with VentureDive in June 2023. Serving as an integral part of Nexdegree's Data Intensive Application Unit within VentureDive. Tasks: I have successfully developed Uptrade, a Trade Promotion System, using the Nest.js framework in Node.js with TypeScript. Uptrade is a robust SaaS platform enabling companies to seamlessly oversee the entire sales promotion lifecycle, from inception to real-time monitoring and updates. Leveraging data pipelines, the system is continuously supplied with up-to-date sales data, allowing users to assess the impact of ongoing promotions by comparing actualized sales with projected figures across various key performance indicators.

I played a pivotal role in the transformation of Udhaar Book, an in-house product, from a ledger management app to a comprehensive fintech platform, catering to a diverse range of monetary services, including e-wallet functionality. My key achievements encompass: Spearheading the development of Udhaar Book's backend using Django and Django Rest framework. Pioneering the introduction of an e-wallet for Udhaar Book customers and establishing partnerships with major local telecom companies and 1Link to facilitate seamless recharge and bill payment services. Implementing an asynchronous architecture, leveraging a Celery task queue system, to ensure high availability and lower response times for the application. Elevating Udhaar Book to the status of a credit provider for small businesses engaged in recharge and bill payment services, serving around 10,000 simultaneous users, thanks to our highly asynchronous and distributed architecture.

Developing and maintaining a web scraping script using Selenium to collect job data from 50 job listing websites on a daily basis, effectively creating and managing a comprehensive job database. Applying Natural Language Processing (NLP) models for text sentiment analysis and text summarization, enhancing data analysis capabilities and insights. Leading the creation of a predictive system for stock market and cryptocurrency movements by integrating news sentiment analysis and employing an ARIMA time-series prediction model, contributing to informed decision-making and financial forecasting.

Software Engineering 4 year degree