SDE-I @ Amazon || Ex- Infineon Technologies || Technovert
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Amazon
Data Scientist
June 13, 2026 – Present
E-mail-Spam-Detector
April 24, 2023 – October 6, 2023
Email spam detector is machine learning classifier model built to analyze email texts and determine whether it is spam or legitimate.
View ProjectTravel-Guide-App
February 4, 2023 – February 4, 2023
Travel-Guide-App — GitHub repository
View ProjectCollege-Attendance-Management-System
December 10, 2022 – December 24, 2022
College Attendance Management System software developed for daily student attendance in colleges and institutes. It facilitates to access the attendance information of a particular student in a particular class. The information is sorted by the operators, which will be provided by the teacher for a particular class.
View ProjectThe-craft-House
June 9, 2022 – December 27, 2023
The Craft House is a ecommerce web application having variety of local and handmade art and craft products . It is fully responsive and has user friendly design .For security purpose , Login and signup is added to authenticate users. All the products shown on are being fetched from the MongoDB database . It also has integrated Paytm Payment Gateway using paytm APIs and test MID and test MKEY .
View Projectpostman-api-fest-team-84-frontend
January 28, 2022 – January 28, 2022
postman-api-fest-team-84-frontend — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and web development-focused, with only one project ('E-mail-Spam-Detector') directly aligning with the Data Scientist role. The breadth of technologies used is wide but lacks depth in core data science tools and methodologies. The listed experience at Amazon as 'Data Scientist' starting in the future (2026) with no end date and marked as current is unusual and cannot be validated as actual experience. This suggests a potential misalignment with the practical demands of a senior Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.