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Full Stack Developer | AI | Visionary | Distributed Systems| System Architecture | AWS
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Saks Global
Data Scientist
June 20, 2026 – Present
AutoScrape
November 10, 2024 – November 19, 2024
A customizable SaaS application for automated web scraping based on defined workflows. Supports modular workflows, scheduling, and data extraction across multiple sources with easy-to-configure steps and robust data output options. Ideal for targeted, repeatable web scraping with minimal setup.
View ProjectNextPair
March 31, 2024 – March 31, 2024
NextPair: Your go-to platform for pair programming collaboration. Powered by Next.js, connect with compatible coding partners worldwide. Say goodbye to coding alone – find your perfect coding companion today!
View ProjectLingual
March 28, 2024 – March 28, 2024
Lingual is a dynamic language learning app that combines engaging animations with interactive lessons to make mastering new languages fun and effective. Dive into a world of animated characters and immersive activities designed to enhance your language skills effortlessly
View ProjectWatchWave
March 27, 2024 – March 28, 2024
WatchWave is a comprehensive movie and TV show catalog app built with React Native. It provides users with a seamless experience for discovering, browsing, and exploring a vast collection of movies and TV shows.
View ProjectReact-Native-Learner
February 12, 2024 – March 27, 2024
A repo to learn react native concepts
View ProjectSnapVogue
July 11, 2023 – August 13, 2024
An Instagram like full stack social media application created using React Native and AWS Services
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards web and mobile development (React Native, Go, Next.js) with only one explicit machine learning project. While the current role is Data Scientist, the personal projects suggest a broader interest that may not perfectly align with a dedicated Data Scientist role's typical project focus. The diversity of technologies indicates adaptability but also a potential lack of deep specialization in data science specific tools beyond Python/Jupyter Notebook.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.