Frontend Developer
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Shri Ramdeobaba College of Engineering and Management
Data Scientist
June 16, 2026 – Present
Event-Management-System
August 16, 2024 – August 17, 2024
Java-based Application utilizing Java Swing for UI and MySQL for data storage, enabling event creation and attendee management.
View ProjecteToll-System
July 31, 2024 – July 31, 2024
Arduino-based Toll Collection System: Combines RFID for automated payments and Infrared Sensors for vehicle detection to streamline and automate toll operations.
View Projectnews-app
July 30, 2024 – July 30, 2024
A React app fetching and displaying the latest news articles using the gNews API.
View ProjectSingle-Cycle-CPU
July 21, 2024 – July 27, 2024
This is a 16 bit single cycle MIPS processor implemented in verilog HDL and tested on NEXYS 4 DDR ,fpga board. It is done as a part of Computer Architechture and Organization coursework.
View ProjectUltraGuard
July 17, 2024 – July 17, 2024
Radar detection system leveraging ultrasonic sensors for precise and efficient obstacle detection.
View ProjectTo-Do-List
July 16, 2024 – July 16, 2024
An app built with Vue, featuring task creation, editing, and deletion for efficient task management.
View ProjectSpamDetect
June 20, 2024 – June 20, 2024
An advanced email filtering system designed to proficiently identify and reduce spam emails, thereby enhancing the security and efficiency of email communication.
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of interests, from web development to embedded systems and AI. However, the target role is 'Data Scientist', and while there are relevant projects ('SpamDetect', 'AI-ChatBot'), the overall project portfolio is very broad, indicating a potential lack of focused specialization in data science. The single listed experience as 'Data Scientist' is marked as current but with a future start date (2026), which is unusual and suggests a lack of actual professional experience in the role. This broadness without deep specialization in data science might indicate a less direct cultural fit for a specialized data science team without further validation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.